Automated mapping of tropical deforestation and forest degradation: CLASlite

By Gregory P. Asner, David E. Knapp, Aravindh Balaji, Guayana Páez-Acosta. 2009

318 citations recorded by the source corpus.

Subfields: Ecology, Environmental Engineering, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/c694899c2b207972e11707886e6514bc0e03d294

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

1. Gregory P. Asner
2. Raul Tupayachi
3. R. F. Hughes
4. John R. Townshend
5. Min Feng
6. Saurabh Channan
7. Peter H. Verburg
8. Kathleen Neumann

In Environmental Engineering

1. Gregory P. Asner
2. Raul Tupayachi
3. Peter H. Verburg
4. Erle C. Ellis
5. Jonathan P. Dandois

In Global and Planetary Change

1. Gregory P. Asner
2. Raul Tupayachi
3. Kathleen Neumann
4. R. F. Hughes
5. Peter H. Verburg
6. Joseph Mascaro

Citations in the corpus

• Assessing Land Degradation and Desertification Using Vegetation Index Data: Current Frameworks and Future Directions (2014, unknown): “Software tailored for land degradation, comparable to the CLASlite (Carnegie Landsat Analysis System-lite) program, which allows end-users to access information and development methodologies to map deforestation and forest cover, would be of advantageous [147].”
• Accelerated losses of protected forests from gold mining in the Peruvian Amazon (2016, methodology): “The data were converted to top-of-atmosphere radiance and apparent surface reflectance using CLASlite (Asner et al 2009).”
• High-resolution forest carbon stocks and emissions in the Amazon (2010, methodology): “Nonforest cover, defined by a CLASlite decision tree based on the 2009 fractional canopy cover output (2), was further partitioned into four subsets according to the fraction of photosynthetic vegetation (PV) in each nonforest pixel.”
• Tropical forest carbon assessment: integrating satellite and airborne mapping approaches (2009, methodology): “To address this gap, Asner et al (2009a) derived equations relating airborne, commercialgrade LiDAR metrics to carbon densities for lowland to montane tropical forest: ACD (Mg C ha−1) = 0.844 × MCH2 r 2 = 0.80, p 0.01.”
• Challenges in using land use and land cover data for global change studies (2011, methodology): “Fully automated approaches, i.e. direct processing of image data using models or other techniques, have the advantage of fast processing allowing high temporal resolution and replication which is especially useful in monitoring rapid deforestation (Asner et al., 2009).”
• Global, 30-m resolution continuous fields of tree cover: Landsat-based rescaling of MODIS vegetation continuous fields with lidar-based estimates of error (2013, methodology): “Independent quantifications of the accuracy of the MODIS VCF (Hansen et al. 2003; DiMiceli et al. 2011) and other continuous-field datasets (e.g. Homer et al. 2004; Asner et al. 2009; Rollins 2009; Hansen et al. 2011) have been scarce.”