Karen Schleeweis
Karen Schleeweis
Research Geographer USFS, UMD
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Cited by
Cited by
Dynamics of national forests assessed using the Landsat record: Case studies in eastern United States
C Huang, SN Goward, K Schleeweis, N Thomas, JG Masek, Z Zhu
Remote sensing of Environment 113 (7), 1430-1442, 2009
United States forest disturbance trends observed using Landsat time series
JG Masek, SN Goward, RE Kennedy, WB Cohen, GG Moisen, ...
Ecosystems 16, 1087-1104, 2013
Development of time series stacks of Landsat images for reconstructing forest disturbance history
C Huang, SN Goward, JG Masek, F Gao, EF Vermote, N Thomas, ...
International Journal of Digital Earth 2 (3), 195-218, 2009
Validation of North American forest disturbance dynamics derived from Landsat time series stacks
NE Thomas, C Huang, SN Goward, S Powell, K Rishmawi, K Schleeweis, ...
Remote Sensing of Environment 115 (1), 19-32, 2011
Testing a Landsat-based approach for mapping disturbance causality in US forests
TA Schroeder, KG Schleeweis, GG Moisen, C Toney, WB Cohen, ...
Remote Sensing of Environment 195, 230-243, 2017
Southern forests for the future
C Hanson, L Yonavjak, C Clarke, S Minnemeyer, L Boisrobert, A Leach, ...
Use of remote sensing data to improve the efficiency of national forest inventories: A case study from the United States national forest inventory
AJ Lister, H Andersen, T Frescino, D Gatziolis, S Healey, LS Heath, ...
Forests 11 (12), 1364, 2020
Shape selection in Landsat time series: A tool for monitoring forest dynamics
GG Moisen, MC Meyer, TA Schroeder, X Liao, KG Schleeweis, ...
Global change biology 22 (10), 3518-3528, 2016
Development of Landsat-based annual US forest disturbance history maps (1986–2010) in support of the North American Carbon Program (NACP)
F Zhao, C Huang, SN Goward, K Schleeweis, K Rishmawi, MA Lindsey, ...
Remote Sensing of Environment 209, 312-326, 2018
US national maps attributing forest change: 1986–2010
KG Schleeweis, GG Moisen, TA Schroeder, C Toney, EA Freeman, ...
Forests 11 (6), 653, 2020
NACP NAFD project: Forest disturbance history from Landsat, 1986-2010
SN Goward, C Huang, F Zhao, K Schleeweis, K Rishmawi, M Lindsey, ...
Mapping forest disturbance intensity in North and South Carolina using annual Landsat observations and field inventory data
X Tao, C Huang, F Zhao, K Schleeweis, J Masek, S Liang
Remote Sensing of environment 221, 351-362, 2019
Selection and quality assessment of Landsat data for the North American forest dynamics forest history maps of the US
K Schleeweis, SN Goward, C Huang, JL Dwyer, JL Dungan, MA Lindsey, ...
International Journal of Digital Earth 9 (10), 963-980, 2016
Regional dynamics of forest canopy change and underlying causal processes in the contiguous US
K Schleeweis, SN Goward, C Huang, JG Masek, G Moisen, RE Kennedy, ...
Journal of Geophysical Research: Biogeosciences 118 (3), 1035-1053, 2013
Forest dynamics within and around the Olympic National Park assessed using time series Landsat observations
C Huang, K Schleeweis, N Thomas, SN Goward
Remote Sensing of Protected Lands, 71-93, 2011
Forest area change in the shifting landscape mosaic of the continental United States from 2001 to 2016
K Riitters, K Schleeweis, J Costanza
Land 9 (11), 417, 2020
Use of Remote Sensing Data to Improve the Efficiency of National Forest Inventories: A Case Study from the United States National Forest Inventory. Forests 11 (12): 1364
AJ Lister, H Andersen, T Frescino, D Gatziolis, S Healey, LS Heath, ...
Multidisciplinary Digital Publishing Institute, 2020
NACP north american forest dynamics project: Forest disturbance and regrowth data
SN Goward, C Huang, JG Masek, WB Cohen, GG Moisen, K Schleeweis
Annual forest disturbance intensity mapped using Landsat time series and field inventory data for the conterminous United States (1986–2015)
J Lu, C Huang, X Tao, W Gong, K Schleeweis
Remote Sensing of Environment 275, 113003, 2022
Integration of VIIRS observations with GEDI-Lidar measurements to monitor forest structure dynamics from 2013 to 2020 across the conterminous United States
K Rishmawi, C Huang, K Schleeweis, X Zhan
Remote Sensing 14 (10), 2320, 2022
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