際際滷shows by User: LouisaDiggs / http://www.slideshare.net/images/logo.gif 際際滷shows by User: LouisaDiggs / Fri, 06 Mar 2020 16:42:29 GMT 際際滷Share feed for 際際滷shows by User: LouisaDiggs Workshop: Quantifying Error in Training Data for Mapping and Monitoring the Earth System /LouisaDiggs/workshop-quantifying-error-in-training-data-for-mapping-and-monitoring-the-earth-system trainingworkshopintro-200306164229
Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund.]]>
Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund.]]> Fri, 06 Mar 2020 16:42:29 GMT /LouisaDiggs/workshop-quantifying-error-in-training-data-for-mapping-and-monitoring-the-earth-system LouisaDiggs@slideshare.net(LouisaDiggs) Workshop: Quantifying Error in Training Data for Mapping and Monitoring the Earth System LouisaDiggs Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/trainingworkshopintro-200306164229-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund.
Workshop: Quantifying Error in Training Data for Mapping and Monitoring the Earth System from Louisa Diggs
]]> 106 0 https://cdn.slidesharecdn.com/ss_thumbnails/trainingworkshopintro-200306164229-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Using Active Learning to Quantify how Training Data Errors Impact Classification Accuracy over Smallholder-Dominated Agricultural Systems /slideshow/using-active-learning-to-quantify-how-training-data-errors-impact-classification-accuracy-over-smallholderdominated-agricultural-systems/229810283 trainingworkshoplde-200306164200
Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund.]]>
Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund.]]> Fri, 06 Mar 2020 16:42:00 GMT /slideshow/using-active-learning-to-quantify-how-training-data-errors-impact-classification-accuracy-over-smallholderdominated-agricultural-systems/229810283 LouisaDiggs@slideshare.net(LouisaDiggs) Using Active Learning to Quantify how Training Data Errors Impact Classification Accuracy over Smallholder-Dominated Agricultural Systems LouisaDiggs Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/trainingworkshoplde-200306164200-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund.
Using Active Learning to Quantify how Training Data Errors Impact Classification Accuracy over Smallholder-Dominated Agricultural Systems from Louisa Diggs
]]> 28 0 https://cdn.slidesharecdn.com/ss_thumbnails/trainingworkshoplde-200306164200-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Machine Learning for Better Maps /slideshow/machine-learning-for-better-maps/229810225 yidevseedpresentation-200306164033
Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund.]]>
Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund.]]> Fri, 06 Mar 2020 16:40:32 GMT /slideshow/machine-learning-for-better-maps/229810225 LouisaDiggs@slideshare.net(LouisaDiggs) Machine Learning for Better Maps LouisaDiggs Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/yidevseedpresentation-200306164033-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund.
Machine Learning for Better Maps from Louisa Diggs
]]> 83 0 https://cdn.slidesharecdn.com/ss_thumbnails/yidevseedpresentation-200306164033-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Generating Training Data from Noisy Measrements /slideshow/generating-training-data-from-noisy-measrements/229809893 hamedclarkuniworkshopjan2019-200306163352
Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund.]]>
Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund.]]> Fri, 06 Mar 2020 16:33:52 GMT /slideshow/generating-training-data-from-noisy-measrements/229809893 LouisaDiggs@slideshare.net(LouisaDiggs) Generating Training Data from Noisy Measrements LouisaDiggs Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/hamedclarkuniworkshopjan2019-200306163352-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund.
Generating Training Data from Noisy Measrements from Louisa Diggs
]]> 42 0 https://cdn.slidesharecdn.com/ss_thumbnails/hamedclarkuniworkshopjan2019-200306163352-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Cropped Field Boundaries, Food Systems, & Fire /slideshow/cropped-field-boundaries-food-systems-fire/229809856 lcmappingfoodfireclarkuniversityjan2019mccarty-200306163306
Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund.]]>
Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund.]]> Fri, 06 Mar 2020 16:33:06 GMT /slideshow/cropped-field-boundaries-food-systems-fire/229809856 LouisaDiggs@slideshare.net(LouisaDiggs) Cropped Field Boundaries, Food Systems, & Fire LouisaDiggs Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/lcmappingfoodfireclarkuniversityjan2019mccarty-200306163306-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund.
Cropped Field Boundaries, Food Systems, & Fire from Louisa Diggs
]]> 31 0 https://cdn.slidesharecdn.com/ss_thumbnails/lcmappingfoodfireclarkuniversityjan2019mccarty-200306163306-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Challenges to Large Scale Mapping: Can Data Geometry Help? /slideshow/challenges-to-large-scale-mapping-can-data-geometry-help/229809717 2019datachallengesmappingornlapproved-200306163043
Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund.]]>
Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund.]]> Fri, 06 Mar 2020 16:30:43 GMT /slideshow/challenges-to-large-scale-mapping-can-data-geometry-help/229809717 LouisaDiggs@slideshare.net(LouisaDiggs) Challenges to Large Scale Mapping: Can Data Geometry Help? LouisaDiggs Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2019datachallengesmappingornlapproved-200306163043-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund.
Challenges to Large Scale Mapping: Can Data Geometry Help? from Louisa Diggs
]]> 96 0 https://cdn.slidesharecdn.com/ss_thumbnails/2019datachallengesmappingornlapproved-200306163043-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 A Random Walk of Issues Related to Training Data and Land Cover Mapping /slideshow/a-random-walk-of-issues-related-to-training-data-and-land-cover-mapping/229769282 friedlclarkworkshop2018-200306015051
Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund.]]>
Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund.]]> Fri, 06 Mar 2020 01:50:51 GMT /slideshow/a-random-walk-of-issues-related-to-training-data-and-land-cover-mapping/229769282 LouisaDiggs@slideshare.net(LouisaDiggs) A Random Walk of Issues Related to Training Data and Land Cover Mapping LouisaDiggs Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/friedlclarkworkshop2018-200306015051-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund.
A Random Walk of Issues Related to Training Data and Land Cover Mapping from Louisa Diggs
]]> 37 0 https://cdn.slidesharecdn.com/ss_thumbnails/friedlclarkworkshop2018-200306015051-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Assessing Land Cover Change using Uncertain Data /slideshow/assessing-land-cover-change-using-uncertain-data/229769234 estesworkshop1pontius2-200306015018
Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund.]]>
Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund.]]> Fri, 06 Mar 2020 01:50:18 GMT /slideshow/assessing-land-cover-change-using-uncertain-data/229769234 LouisaDiggs@slideshare.net(LouisaDiggs) Assessing Land Cover Change using Uncertain Data LouisaDiggs Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/estesworkshop1pontius2-200306015018-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund.
Assessing Land Cover Change using Uncertain Data from Louisa Diggs
]]> 34 0 https://cdn.slidesharecdn.com/ss_thumbnails/estesworkshop1pontius2-200306015018-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Informal Settlements and Cadastral Mapping /slideshow/informal-settlements-and-cadastral-mapping/229769228 clarkeuniv08012019-200306015012
Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund. ]]>
Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund. ]]> Fri, 06 Mar 2020 01:50:12 GMT /slideshow/informal-settlements-and-cadastral-mapping/229769228 LouisaDiggs@slideshare.net(LouisaDiggs) Informal Settlements and Cadastral Mapping LouisaDiggs Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/clarkeuniv08012019-200306015012-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund.
Informal Settlements and Cadastral Mapping from Louisa Diggs
]]> 73 0 https://cdn.slidesharecdn.com/ss_thumbnails/clarkeuniv08012019-200306015012-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Sources of Map Error in Public Health Activities and Operations Research /slideshow/sources-of-map-error-in-public-health-activities-and-operations-research/229769168 clarksourcesoferrorinpublichealth2-200306014918
Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund. ]]>
Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund. ]]> Fri, 06 Mar 2020 01:49:18 GMT /slideshow/sources-of-map-error-in-public-health-activities-and-operations-research/229769168 LouisaDiggs@slideshare.net(LouisaDiggs) Sources of Map Error in Public Health Activities and Operations Research LouisaDiggs Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/clarksourcesoferrorinpublichealth2-200306014918-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund.
Sources of Map Error in Public Health Activities and Operations Research from Louisa Diggs
]]> 20 0 https://cdn.slidesharecdn.com/ss_thumbnails/clarksourcesoferrorinpublichealth2-200306014918-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Measuring the impact of label noise on semantic segmentation using rastervision /slideshow/measuring-the-impact-of-label-noise-on-semantic-segmentation-using-rastervision/229769127 clarkworkshoponlabelerror1819-200306014845
Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund. ]]>
Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund. ]]> Fri, 06 Mar 2020 01:48:45 GMT /slideshow/measuring-the-impact-of-label-noise-on-semantic-segmentation-using-rastervision/229769127 LouisaDiggs@slideshare.net(LouisaDiggs) Measuring the impact of label noise on semantic segmentation using rastervision LouisaDiggs Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/clarkworkshoponlabelerror1819-200306014845-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund.
Measuring the impact of label noise on semantic segmentation using rastervision from Louisa Diggs
]]> 19 0 https://cdn.slidesharecdn.com/ss_thumbnails/clarkworkshoponlabelerror1819-200306014845-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Mapping Smallholder Yields Using Micro-Satellite Data /slideshow/mapping-smallholder-yields-using-microsatellite-data/229769122 agupresentationjain-200306014842
Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund. ]]>
Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund. ]]> Fri, 06 Mar 2020 01:48:41 GMT /slideshow/mapping-smallholder-yields-using-microsatellite-data/229769122 LouisaDiggs@slideshare.net(LouisaDiggs) Mapping Smallholder Yields Using Micro-Satellite Data LouisaDiggs Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/agupresentationjain-200306014842-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund.
Mapping Smallholder Yields Using Micro-Satellite Data from Louisa Diggs
]]> 22 0 https://cdn.slidesharecdn.com/ss_thumbnails/agupresentationjain-200306014842-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Crowdsourcing Land Cover and Land Use Data: Experiences from IIASA /slideshow/crowdsourcing-land-cover-and-land-use-data-experiences-from-iiasa/229769075 iiasapresentation-eocs-200306014801
Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund.]]>
Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund.]]> Fri, 06 Mar 2020 01:48:01 GMT /slideshow/crowdsourcing-land-cover-and-land-use-data-experiences-from-iiasa/229769075 LouisaDiggs@slideshare.net(LouisaDiggs) Crowdsourcing Land Cover and Land Use Data: Experiences from IIASA LouisaDiggs Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/iiasapresentation-eocs-200306014801-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on Quantifying Error in Training Data for Mapping and Monitoring the Earth System was held on January 8-9, 2019 at Clark University, with support from Omidyar Networks Property Rights Initiative, now PlaceFund.
Crowdsourcing Land Cover and Land Use Data: Experiences from IIASA from Louisa Diggs
]]> 20 0 https://cdn.slidesharecdn.com/ss_thumbnails/iiasapresentation-eocs-200306014801-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 IMED 2018: The use of remote sensing, geostatistical and machine learning methods in neglected tropical diseases surveillancethe case of podoconiosis and lymphatic filariasis. /slideshow/imed-2018-the-use-of-remote-sensing-geostatistical-and-machine-learning-methods-in-neglected-tropical-diseases-surveillancethe-case-of-podoconiosis-and-lymphatic-filariasis/123224996 imed2018symposiumoneomlkebedederibepodoconiosis-181116202259
Kebede Deribe, Ph.D., MPH, Wellcome Trust Brighton and Sussex Centre for Global Health Research, Brighton and Sussex Medical School, Brighton, UK and School of Public Health, Addis Ababa University, Addis Ababa, Ethiopia: The use of remote sensing, geostatistical and machine learning methods in neglected tropical diseases surveillancethe case of podoconiosis and lymphatic filariasis.]]>
Kebede Deribe, Ph.D., MPH, Wellcome Trust Brighton and Sussex Centre for Global Health Research, Brighton and Sussex Medical School, Brighton, UK and School of Public Health, Addis Ababa University, Addis Ababa, Ethiopia: The use of remote sensing, geostatistical and machine learning methods in neglected tropical diseases surveillancethe case of podoconiosis and lymphatic filariasis.]]> Fri, 16 Nov 2018 20:22:59 GMT /slideshow/imed-2018-the-use-of-remote-sensing-geostatistical-and-machine-learning-methods-in-neglected-tropical-diseases-surveillancethe-case-of-podoconiosis-and-lymphatic-filariasis/123224996 LouisaDiggs@slideshare.net(LouisaDiggs) IMED 2018: The use of remote sensing, geostatistical and machine learning methods in neglected tropical diseases surveillancethe case of podoconiosis and lymphatic filariasis. LouisaDiggs Kebede Deribe, Ph.D., MPH, Wellcome Trust Brighton and Sussex Centre for Global Health Research, Brighton and Sussex Medical School, Brighton, UK and School of Public Health, Addis Ababa University, Addis Ababa, Ethiopia: The use of remote sensing, geostatistical and machine learning methods in neglected tropical diseases surveillancethe case of podoconiosis and lymphatic filariasis. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/imed2018symposiumoneomlkebedederibepodoconiosis-181116202259-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Kebede Deribe, Ph.D., MPH, Wellcome Trust Brighton and Sussex Centre for Global Health Research, Brighton and Sussex Medical School, Brighton, UK and School of Public Health, Addis Ababa University, Addis Ababa, Ethiopia: The use of remote sensing, geostatistical and machine learning methods in neglected tropical diseases surveillancethe case of podoconiosis and lymphatic filariasis.
IMED 2018: The use of remote sensing, geostatistical and machine learning methods in neglected tropical diseases surveillance the case of podoconiosis and lymphatic filariasis. from Louisa Diggs
]]> 195 3 https://cdn.slidesharecdn.com/ss_thumbnails/imed2018symposiumoneomlkebedederibepodoconiosis-181116202259-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 IMED 2018: Predicting the environmental suitability of podoconiosis in Ethiopia /slideshow/imed-2018-predicting-the-environmental-suitability-of-podoconiosis-in-ethiopia/123224595 imed2018workshoponeomlkebedederibepodoconiosismethods-181116201905
Kebede Deribe, Ph.D., MPH, Brighton, and Sussex Medical School, and, School of Public Health, Addis Ababa University: Predicting the environmental suitability of podoconiosis in Ethiopia]]>
Kebede Deribe, Ph.D., MPH, Brighton, and Sussex Medical School, and, School of Public Health, Addis Ababa University: Predicting the environmental suitability of podoconiosis in Ethiopia]]> Fri, 16 Nov 2018 20:19:05 GMT /slideshow/imed-2018-predicting-the-environmental-suitability-of-podoconiosis-in-ethiopia/123224595 LouisaDiggs@slideshare.net(LouisaDiggs) IMED 2018: Predicting the environmental suitability of podoconiosis in Ethiopia LouisaDiggs Kebede Deribe, Ph.D., MPH, Brighton, and Sussex Medical School, and, School of Public Health, Addis Ababa University: Predicting the environmental suitability of podoconiosis in Ethiopia <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/imed2018workshoponeomlkebedederibepodoconiosismethods-181116201905-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Kebede Deribe, Ph.D., MPH, Brighton, and Sussex Medical School, and, School of Public Health, Addis Ababa University: Predicting the environmental suitability of podoconiosis in Ethiopia
IMED 2018: Predicting the environmental suitability of podoconiosis in Ethiopia from Louisa Diggs
]]> 141 1 https://cdn.slidesharecdn.com/ss_thumbnails/imed2018workshoponeomlkebedederibepodoconiosismethods-181116201905-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 IMED 2018: Landcover/habitat /slideshow/imed-2018-landcoverhabitat/123224587 imed2018workshoponeomlynakasawahabitatanalysismonkeypox-181116201900
Yoshinori Nakazawa, Ph.D., Poxvirus Branch, US Centers for Disease Control and Prevention: Landcover/habitat]]>
Yoshinori Nakazawa, Ph.D., Poxvirus Branch, US Centers for Disease Control and Prevention: Landcover/habitat]]> Fri, 16 Nov 2018 20:19:00 GMT /slideshow/imed-2018-landcoverhabitat/123224587 LouisaDiggs@slideshare.net(LouisaDiggs) IMED 2018: Landcover/habitat LouisaDiggs Yoshinori Nakazawa, Ph.D., Poxvirus Branch, US Centers for Disease Control and Prevention: Landcover/habitat <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/imed2018workshoponeomlynakasawahabitatanalysismonkeypox-181116201900-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Yoshinori Nakazawa, Ph.D., Poxvirus Branch, US Centers for Disease Control and Prevention: Landcover/habitat
IMED 2018: Landcover/habitat from Louisa Diggs
]]> 89 1 https://cdn.slidesharecdn.com/ss_thumbnails/imed2018workshoponeomlynakasawahabitatanalysismonkeypox-181116201900-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 IMED 2018: Modeled Population Estimates from Satellite Imagery and Microcensus Data /slideshow/imed-2018-modeled-population-estimates-from-satellite-imagery-and-microcensus-data/123224585 imed2018workshoponeomlvseamanpopestimation-181116201900
Vincent Seaman Ph.D., Senior Program Officer, Polio Eradication Program, Bill and Melinda Gates Foundation: Modeled Population Estimates from Satellite Imagery and Microcensus Data.]]>
Vincent Seaman Ph.D., Senior Program Officer, Polio Eradication Program, Bill and Melinda Gates Foundation: Modeled Population Estimates from Satellite Imagery and Microcensus Data.]]> Fri, 16 Nov 2018 20:19:00 GMT /slideshow/imed-2018-modeled-population-estimates-from-satellite-imagery-and-microcensus-data/123224585 LouisaDiggs@slideshare.net(LouisaDiggs) IMED 2018: Modeled Population Estimates from Satellite Imagery and Microcensus Data LouisaDiggs Vincent Seaman Ph.D., Senior Program Officer, Polio Eradication Program, Bill and Melinda Gates Foundation: Modeled Population Estimates from Satellite Imagery and Microcensus Data. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/imed2018workshoponeomlvseamanpopestimation-181116201900-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Vincent Seaman Ph.D., Senior Program Officer, Polio Eradication Program, Bill and Melinda Gates Foundation: Modeled Population Estimates from Satellite Imagery and Microcensus Data.
IMED 2018: Modeled Population Estimates from Satellite Imagery and Microcensus Data from Louisa Diggs
]]> 493 9 https://cdn.slidesharecdn.com/ss_thumbnails/imed2018workshoponeomlvseamanpopestimation-181116201900-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 IMED 2018: An intro to Remote Sensing and Machine Learning /slideshow/imed-2018-an-intro-to-remote-sensing-and-machine-learning/123224573 imed2018workshoponeomlhamedalemohammadintroeoml-181116201853
Hamed Alemohammad, Ph.D., Lead Geospatial Data Scientist, Radiant Earth Foundation: An intro to Remote Sensing and Machine Learning.]]>
Hamed Alemohammad, Ph.D., Lead Geospatial Data Scientist, Radiant Earth Foundation: An intro to Remote Sensing and Machine Learning.]]> Fri, 16 Nov 2018 20:18:53 GMT /slideshow/imed-2018-an-intro-to-remote-sensing-and-machine-learning/123224573 LouisaDiggs@slideshare.net(LouisaDiggs) IMED 2018: An intro to Remote Sensing and Machine Learning LouisaDiggs Hamed Alemohammad, Ph.D., Lead Geospatial Data Scientist, Radiant Earth Foundation: An intro to Remote Sensing and Machine Learning. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/imed2018workshoponeomlhamedalemohammadintroeoml-181116201853-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Hamed Alemohammad, Ph.D., Lead Geospatial Data Scientist, Radiant Earth Foundation: An intro to Remote Sensing and Machine Learning.
IMED 2018: An intro to Remote Sensing and Machine Learning from Louisa Diggs
]]> 1424 3 https://cdn.slidesharecdn.com/ss_thumbnails/imed2018workshoponeomlhamedalemohammadintroeoml-181116201853-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 IMED 2018: Mapping Monkeypox risk in the Congo Basin using Remote Sensing and Ecological Niche Models. /slideshow/imed-2018-mapping-monkeypox-risk-in-the-congo-basin-using-remote-sensing-and-ecological-niche-models/123224540 imed2018symposiumoneomlynakasawahabitatanalysismonkeypox-181116201836
Yoshinori Nakazawa, Ph.D., Poxvirus Branch: Mapping Monkeypox risk in the Congo basin using Remote Sensing and Ecological Niche Models.]]>
Yoshinori Nakazawa, Ph.D., Poxvirus Branch: Mapping Monkeypox risk in the Congo basin using Remote Sensing and Ecological Niche Models.]]> Fri, 16 Nov 2018 20:18:35 GMT /slideshow/imed-2018-mapping-monkeypox-risk-in-the-congo-basin-using-remote-sensing-and-ecological-niche-models/123224540 LouisaDiggs@slideshare.net(LouisaDiggs) IMED 2018: Mapping Monkeypox risk in the Congo Basin using Remote Sensing and Ecological Niche Models. LouisaDiggs Yoshinori Nakazawa, Ph.D., Poxvirus Branch: Mapping Monkeypox risk in the Congo basin using Remote Sensing and Ecological Niche Models. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/imed2018symposiumoneomlynakasawahabitatanalysismonkeypox-181116201836-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Yoshinori Nakazawa, Ph.D., Poxvirus Branch: Mapping Monkeypox risk in the Congo basin using Remote Sensing and Ecological Niche Models.
IMED 2018: Mapping Monkeypox risk in the Congo Basin using Remote Sensing and Ecological Niche Models. from Louisa Diggs
]]> 1029 2 https://cdn.slidesharecdn.com/ss_thumbnails/imed2018symposiumoneomlynakasawahabitatanalysismonkeypox-181116201836-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 IMED 2018: Predicting spatiotemporal risk of yellow fever using a machine learning approach. /slideshow/imed-2018-predicting-spatiotemporal-risk-of-yellow-fever-using-a-machine-learning-approach/123224536 imed2018symposiumoneomlykaulspilloveryellowfever-181116201834
RajReni Kaul, Doctoral candidate, Odum School of Ecology, University of Georgia: Predicting spatiotemporal risk of yellow fever using a machine learning approach.]]>
RajReni Kaul, Doctoral candidate, Odum School of Ecology, University of Georgia: Predicting spatiotemporal risk of yellow fever using a machine learning approach.]]> Fri, 16 Nov 2018 20:18:34 GMT /slideshow/imed-2018-predicting-spatiotemporal-risk-of-yellow-fever-using-a-machine-learning-approach/123224536 LouisaDiggs@slideshare.net(LouisaDiggs) IMED 2018: Predicting spatiotemporal risk of yellow fever using a machine learning approach. LouisaDiggs RajReni Kaul, Doctoral candidate, Odum School of Ecology, University of Georgia: Predicting spatiotemporal risk of yellow fever using a machine learning approach. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/imed2018symposiumoneomlykaulspilloveryellowfever-181116201834-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> RajReni Kaul, Doctoral candidate, Odum School of Ecology, University of Georgia: Predicting spatiotemporal risk of yellow fever using a machine learning approach.
IMED 2018: Predicting spatiotemporal risk of yellow fever using a machine learning approach. from Louisa Diggs
]]> 130 2 https://cdn.slidesharecdn.com/ss_thumbnails/imed2018symposiumoneomlykaulspilloveryellowfever-181116201834-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://public.slidesharecdn.com/v2/images/profile-picture.png https://cdn.slidesharecdn.com/ss_thumbnails/trainingworkshopintro-200306164229-thumbnail.jpg?width=320&height=320&fit=bounds LouisaDiggs/workshop-quantifying-error-in-training-data-for-mapping-and-monitoring-the-earth-system Workshop: Quantifying ... https://cdn.slidesharecdn.com/ss_thumbnails/trainingworkshoplde-200306164200-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/using-active-learning-to-quantify-how-training-data-errors-impact-classification-accuracy-over-smallholderdominated-agricultural-systems/229810283 Using Active Learning ... https://cdn.slidesharecdn.com/ss_thumbnails/yidevseedpresentation-200306164033-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/machine-learning-for-better-maps/229810225 Machine Learning for B...