Saurabh Channan
According to our database1,
Saurabh Channan
authored at least 15 papers
between 2011 and 2021.
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Bibliography
2021
The Decrease in Lake Numbers and Areas in Central Asia Investigated Using a Landsat-Derived Water Dataset.
Remote. Sens., 2021
2019
Landsat-Based Estimation of Seasonal Water Cover and Change in Arid and Semi-Arid Central Asia (2000-2015).
Remote. Sens., 2019
2017
Assessment of MODIS BRDF/Albedo Model Parameters (MCD43A1 Collection 6) for Directional Reflectance Retrieval.
Remote. Sens., 2017
2016
Remote. Sens., 2016
Assessment of the three factors affecting Myanmar's forest cover change using Landsat and MODIS vegetation continuous fields data.
Int. J. Digit. Earth, 2016
A global, high-resolution (30-m) inland water body dataset for 2000: first results of a topographic-spectral classification algorithm.
Int. J. Digit. Earth, 2016
2014
Annual Detection of Forest Cover Loss Using Time Series Satellite Measurements of Percent Tree Cover.
Remote. Sens., 2014
Long-Term Record of Sampled Disturbances in Northern Eurasian Boreal Forest from Pre-2000 Landsat Data.
Remote. Sens., 2014
Integrating global land cover products for improved forest cover characterization: an application in North America.
Int. J. Digit. Earth, 2014
Comparison of remote sensing based forest area and change estimation with national forestry inventory between 2000 and 2005 in China.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
2013
Global, 30-m resolution continuous fields of tree cover: Landsat-based rescaling of MODIS vegetation continuous fields with lidar-based estimates of error.
Int. J. Digit. Earth, 2013
2012
Comput. Geosci., 2012
Global characterization and monitoring of forest cover using Landsat data: opportunities and challenges.
Int. J. Digit. Earth, 2012
An approach for quickly labeling land cover types for multiple epochs at globally selected locations.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
2011
An assessment of global forest cover maps using regional higher-resolution reference data sets.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011