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نویسنده : Praveen Noojipady; Douglas C. Morton; Wilfrid Schroeder; Kimberly M. Carlson; Chengquan Huang; Holly K. Gibbs; David Burns; Nathalie F. Walker; Stephen D. Prince

سال: 2017

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Improving estimates of forest disturbance by combining observations from Landsat time series with U.S. Forest Service Forest Inventory and Analysis data

نوع: Journal Paper

نویسنده : Todd A. Schroeder; Sean P. Healey; Gretchen G. Moisen; Tracey S. Frescino; Warren B. Cohen; Chengquan Huang; Robert E. Kennedy; Zhiqiang Yang

سال: 2014

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Regional rates of young US forest growth estimated from annual Landsat disturbance history and IKONOS stereo imagery

نوع: Journal Paper

نویسنده : Christopher S.R. Neigh; Jeffrey G. Masek; Paul Bourget; Khaldoun Rishmawi; Feng Zhao; Chengquan Huang; Bruce D. Cook; Ross F. Nelson

سال: 2015

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Sensor Compatibility for Biomass Change Estimation Using Remote Sensing Data Sets: Part of NASA\'s Carbon Monitoring System Initiative

نوع: Journal Paper

نویسنده : Jacqueline Rosette; Bruce Cook; Ross Nelson; Chengquan Huang; Jeff Masek; Compton Tucker; Guoqing Sun; Wenli Huang; Paul Montesano; Jeremy Rubio-Gil; Jon Ranson

سال: 2015

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Use of Vegetation Change Tracker and Support Vector Machine to Map Disturbance Types in Greater Yellowstone Ecosystems in a 1984–2010 Landsat Time Series

Multi-view L2-SVM and its multi-view core vector machine

Comparison of remote sensing based forest area and change estimation with national forestry inventory between 2000 and 2005 in China

Multi-temporal cloud and snow detection algorithm for the HJ-1A/B CCD imagery of China

Automated masking of cloud and cloud shadow for forest change analysis using Landsat images

Global, Landsat-based forest-cover change from 1990 to 2000

Managing fire risk during drought: the influence of certification and El Niño on fire-driven forest conversion for oil palm in Southeast Asia

Improving estimates of forest disturbance by combining observations from Landsat time series with U.S. Forest Service Forest Inventory and Analysis data

Regional rates of young US forest growth estimated from annual Landsat disturbance history and IKONOS stereo imagery

Sensor Compatibility for Biomass Change Estimation Using Remote Sensing Data Sets: Part of NASA\'s Carbon Monitoring System Initiative

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Use of Vegetation Change Tracker and Support Vector Machine to Map Disturbance Types in Greater Yellowstone Ecosystems in a 1984–2010 Landsat Time Series

Multi-view L2-SVM and its multi-view core vector machine

Comparison of remote sensing based forest area and change estimation with national forestry inventory between 2000 and 2005 in China

Multi-temporal cloud and snow detection algorithm for the HJ-1A/B CCD imagery of China

Automated masking of cloud and cloud shadow for forest change analysis using Landsat images

Global, Landsat-based forest-cover change from 1990 to 2000

Managing fire risk during drought: the influence of certification and El Niño on fire-driven forest conversion for oil palm in Southeast Asia

Improving estimates of forest disturbance by combining observations from Landsat time series with U.S. Forest Service Forest Inventory and Analysis data

Regional rates of young US forest growth estimated from annual Landsat disturbance history and IKONOS stereo imagery

Sensor Compatibility for Biomass Change Estimation Using Remote Sensing Data Sets: Part of NASA\'s Carbon Monitoring System Initiative