MODIS-Based Monthly LST Products over Amazonia under Different Cloud Mask Schemes
AbstractOne of the major problems in the monitoring of tropical rainforests using satellite imagery is their persistent cloud coverage. The use of daily observations derived from high temporal resolution sensors, such as Moderate Resolution Imaging Spectroradiometer (MODIS), could potentially help to mitigate this issue, increasing the number of clear-sky observations. However, the cloud contamination effect should be removed from these results in order to provide a reliable description of these forests. In this study the available MODIS Land Surface Temperature (LST) products have been reprocessed over the Amazon Basin (10 N–20 S, 80 W–45 W) by introducing different cloud masking schemes. The monthly LST datasets can be used for the monitoring of thermal anomalies over the Amazon forests and the analysis of spatial patterns of warming events at higher spatial resolutions than other climatic datasets. View Full-Text
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Gomis-Cebolla, J.; Jiménez-Muñoz, J.C.; Sobrino, J.A. MODIS-Based Monthly LST Products over Amazonia under Different Cloud Mask Schemes. Data 2016, 1, 2.
Gomis-Cebolla J, Jiménez-Muñoz JC, Sobrino JA. MODIS-Based Monthly LST Products over Amazonia under Different Cloud Mask Schemes. Data. 2016; 1(2):2.Chicago/Turabian Style
Gomis-Cebolla, José; Jiménez-Muñoz, Juan C.; Sobrino, José A. 2016. "MODIS-Based Monthly LST Products over Amazonia under Different Cloud Mask Schemes." Data 1, no. 2: 2.
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