About: Global characterization and monitoring of forest cover using Landsat data: opportunities and challenges

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description	article (en) հոդված (hy) wetenschappelijk artikel (nl) article scientifique publié en 2012 (fr) наукова стаття, опублікована в серпні 2012 (uk) im August 2012 veröffentlichter wissenschaftlicher Artikel (de)
publication date	wds:Q58102757-CF7A26B5-5003-4612-8996-85E1B9B47F53
publication date	2012-08-23 00:00:00Z (xsd:dateTime)
author name string	wds:Q58102757-0F240579-14E9-48BD-A4AC-85C7DC89C33C wds:Q58102757-4229EAAB-352C-4FD5-B2F3-35B8EC0F16DA wds:Q58102757-86C43FF5-72A0-4880-9B76-263FB2F6CE29 wds:Q58102757-90B36BFD-31DD-4D3A-8117-02114C2482EE wds:Q58102757-9E6EB5BC-7550-4BD4-8B8A-C3BBCF9E5F02 wds:Q58102757-A19189D9-FBAB-46EF-B0BF-107CFD0981B1 wds:Q58102757-A1FC03BF-96B6-4134-9232-E23619F79A79 wds:Q58102757-AEBE4B8F-2678-4162-AE77-25959E02743E wds:Q58102757-C210D003-A9C4-4085-B2DF-56C9AFBE06B8 wds:Q58102757-C309C892-08EF-45CD-9AEA-ED960C426646 wds:Q58102757-C6D29591-BBCD-45BF-A7B0-EC83E9F9B127 wds:Q58102757-C6D8961C-E8BF-4024-A0D5-3124F238EFC0 wds:Q58102757-E45933E4-B530-4156-838D-0E8365DF9554 wds:Q58102757-E9EA4784-2476-424A-9FC0-C2BA9FE88E16 wds:Q58102757-F475BB6A-98D9-40DB-A0CA-0CD5AAB34DB4
author name string	Feng Gao Dohyung Kim Min Feng Bin Tan Mengxue Li Matthew C. Hansen Eric F. Vermote John R. Townshend Jeffrey G. Masek Joseph O. Sexton Praveen Noojipady Danxia Song Kuan Song Raghuram Narasimhan Saurabh Channan
rdfs:label	Global characterization and monitoring of forest cover using Landsat data: opportunities and challenges (en) Global characterization and monitoring of forest cover using Landsat data: opportunities and challenges (nl)
skos:prefLabel	Global characterization and monitoring of forest cover using Landsat data: opportunities and challenges (en) Global characterization and monitoring of forest cover using Landsat data: opportunities and challenges (nl)
name	Global characterization and monitoring of forest cover using Landsat data: opportunities and challenges (en) Global characterization and monitoring of forest cover using Landsat data: opportunities and challenges (nl)
author	wds:Q58102757-79D44612-FB5C-4022-8D85-1E3F787F0FC2 wds:Q58102757-C0470573-7457-4104-89AD-4D9407700AB3 wds:Q58102757-E17E7A3A-835E-47C8-BC0F-C38DB07F19B7
author	Robert E. Wolfe Chengquan Huang Xiao-Peng Song
title	wds:Q58102757-75596EC5-CFE5-4226-BEF4-385B4E70DC7A
title	Global characterization and monitoring of forest cover using Landsat data: opportunities and challenges (en)
page(s)	wds:Q58102757-5735D66A-FAAE-4F48-A962-EBE11F4D9ECD
page(s)	373-397
instance of	wds:Q58102757-D863DAE2-B224-4B1E-8667-1AEF4B6AF851
instance of	scholarly article
DBLP publication ID	wds:Q58102757-E76614BA-3B0A-42DE-9477-791C6C5F3FC4
DBLP publication ID	https://dblp.org/rec/journals/digearth/TownshendMHVGCSFNKSSSNTHLW12
DBLP publication ID	journals/digearth/TownshendMHVGCSFNKSSSNTHLW12
published in	wds:Q58102757-207FDEED-3F4E-423A-9A6C-8104B11CBB4C
published in	International Journal of Digital Earth
issue	wds:Q58102757-DFC047F5-E498-4CB7-A65C-B22F9A57F0FD
volume	wds:Q58102757-45CE52BA-93DD-4BE7-8628-6B5843AC867D
issue	5
volume	5
DOI	wds:Q58102757-79D5EE60-909A-4095-8E40-43A181A2D3B7
DOI	http://dx.doi.org/10.1080/17538947.2012.713190
DOI	10.1080/17538947.2012.713190
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q58102757
is cites work of	A horizon scan of global conservation issues for 2014 Annual Carbon Emissions from Deforestation in the Amazon Basin between 2000 and 2010 Global, 30-m resolution continuous fields of tree cover: Landsat-based rescaling of MODIS vegetation continuous fields with lidar-based estimates of error Free and open-access satellite data are key to biodiversity conservation Meta-discoveries from a synthesis of satellite-based land-cover mapping research Mapping multi-scale vascular plant richness in a forest landscape with integrated LiDAR and hyperspectral remote-sensing Comparison of ETM+ and MODIS Data for Tropical Forest Degradation Monitoring in the Peninsular Malaysia Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data The Sensitivity of Mapping Methods to Reference Data Quality: Training Supervised Image Classifications with Imperfect Reference Data An Automated Approach to Map the History of Forest Disturbance from Insect Mortality and Harvest with Landsat Time-Series Data Pixel-Based Image Compositing for Large-Area Dense Time Series Applications and Science Conservation policy and the measurement of forests Citizen Observatories and the New Earth Observation Science Forest dynamics in the U.S. indicate disproportionate attrition in western forests, rural areas and public lands Mapping afforestation and deforestation from 1974 to 2012 using Landsat time-series stacks in Yulin District, a key region of the Three-North Shelter region, China Global tropical forest types as support for the consideration of biodiversity under REDD+ Improving global land cover characterization through data fusion Annual Detection of Forest Cover Loss Using Time Series Satellite Measurements of Percent Tree Cover Quantifying Multi-Decadal Change of Planted Forest Cover Using Airborne LiDAR and Landsat Imagery Approaches to monitoring changes in carbon stocks for REDD+ Mass data processing of time series Landsat imagery: pixels to data products for forest monitoring Inconsistent estimates of forest cover change in China between 2000 and 2013 from multiple datasets: differences in parameters, spatial resolution, and definitions Assessment of the three factors affecting Myanmar's forest cover change using Landsat and MODIS vegetation continuous fields data Developing spatially and thematically detailed backdated maps for land cover studies A Circa 2010 Thirty Meter Resolution Forest Map for China Response to Comment on "The extent of forest in dryland biomes". Selection and quality assessment of Landsat data for the North American forest dynamics forest history maps of the US Land cover data from Landsat single-date imagery: an approach integrating pixel-based and object-based classifiers
is cites work of	wds:Q46062098-AABE8D8E-6780-417A-8C76-5A0043669345 wds:Q57634457-B27197A9-132B-4727-A9C1-D389E4F5E225

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