Journal ArticleDOI
Automated mapping of tropical deforestation and forest degradation: CLASlite
TLDR
In this article, the authors present a system called CLASlite, which provides desktop mapping of forest cover, deforestation and forest disturbance using advanced atmospheric correction and spectral signal processing approaches with Landsat, SPOT, and many other satellite sensors.Abstract:
Monitoring deforestation and forest degradation is central to assessing changes in carbon storage, biodiversity, and many other ecological processes in tropical regions. Satellite remote sensing is the most accurate and cost-effective way to monitor changes in forest cover and degradation over large geographic areas, but the tools and methods have been highly manual and time consuming, often requiring expert knowledge. We present a new user- friendly, fully automated system called CLASlite, which provides desktop mapping of forest cover, deforestation and forest disturbance using advanced atmospheric correction and spectral signal processing approaches with Landsat, SPOT, and many other satellite sensors. CLASlite runs on a standard Windows-based computer, and can map more than 10,000 km 2 , at 30 m spatial resolution, of forest area per hour of processing time. Outputs from CLASlite include maps of the percentage of live and dead vegetation cover, bare soils and other substrates, along with quantitative measures of uncertainty in each image pixel. These maps are then interpreted in terms of forest cover, deforestation and forest disturbance using automated decision trees. CLASlite output images can be directly input to other remote sensing programs, geographic information systems (GIS), Google Earth™, or other visualization systems. Here we provide a detailed description of the CLASlite approach with example results for deforestation and forest degradation scenarios in Brazil, Peru, and other tropical forest sites worldwide.read more
Citations
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Journal ArticleDOI
High-resolution forest carbon stocks and emissions in the Amazon
Gregory P. Asner,George V. N. Powell,Joseph Mascaro,David E. Knapp,John K. Clark,James Jacobson,Ty Kennedy-Bowdoin,Aravindh Balaji,Guayana Paez-Acosta,Eloy Victoria,Laura Secada,Michael Valqui,R. Flint Hughes +12 more
TL;DR: Very high-resolution monitoring reduces uncertainty in carbon emissions for REDD programs while uncovering fundamental environmental controls on forest carbon storage and their interactions with land-use change.
Journal ArticleDOI
Global, 30-m resolution continuous fields of tree cover: Landsat-based rescaling of MODIS vegetation continuous fields with lidar-based estimates of error
Joseph O. Sexton,Xiao-Peng Song,Min Feng,Praveen Noojipady,Anupam Anand,Chengquan Huang,Do-Hyung Kim,K. M. Collins,Saurabh Channan,C. Dimiceli,John R. Townshend +10 more
TL;DR: A global, 30-m resolution dataset of percent tree cover by rescaling the 250-m MOderate-resolution Imaging Spectroradiometer (MODIS) Vegetation Continuous Fields (VCF) Tree Cover layer using circa- 2000 and 2005 Landsat images, incorporating the MODIS Cropland Layer to improve accuracy in agricultural areas.
Journal ArticleDOI
Challenges in using land use and land cover data for global change studies
TL;DR: In this article, the authors consider the suitability of the data for the specific application, the bias originating from data inventory and aggregation, and the effects of the uncertainty in the data on the results of the assessment.
Journal ArticleDOI
Carbon emissions from forest conversion by Kalimantan oil palm plantations
Kimberly M. Carlson,Lisa M. Curran,Lisa M. Curran,Lisa M. Curran,Gregory P. Asner,Alice M. Pittman,Alice M. Pittman,Simon N. Trigg,J. Marion Adeney,J. Marion Adeney +9 more
TL;DR: In this article, the authors used land cover classification combined with carbon flux estimates to develop high-resolution estimates of carbon flux from Kalimantan plantations for the period 1990-2010.
Journal ArticleDOI
Committed carbon emissions, deforestation, and community land conversion from oil palm plantation expansion in West Kalimantan, Indonesia
Kimberly M. Carlson,Lisa M. Curran,Lisa M. Curran,Lisa M. Curran,Dessy Ratnasari,Alice M. Pittman,Alice M. Pittman,Britaldo Soares-Filho,Gregory P. Asner,Simon N. Trigg,David L. A. Gaveau,Deborah Lawrence,Hermann Rodrigues +12 more
TL;DR: Impacts of oil palm plantation development on land cover, carbon flux, and agrarian community lands in West Kalimantan, Indonesian Borneo are evaluated using a spatially explicit land change/carbon bookkeeping model and informed by socioeconomic surveys.
References
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TL;DR: The 6S code has still limitations; it cannot handle spherical atmosphere and as a result, it cannot be used for limb observations, and the decoupling the authors are using for absorption and scattering effects does not allow to use the code in presence of strong absorption bands.
Journal ArticleDOI
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Journal ArticleDOI
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Book
The radiation regime and architecture of plant stands
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