6533b872fe1ef96bd12d2d6c
RESEARCH PRODUCT
MODIS-Based Monthly LST Products over Amazonia under Different Cloud Mask Schemes
Juan C. Jiménez-muñozJosé A. SobrinoJosé Gomis-cebollasubject
Information Systems and Management010504 meteorology & atmospheric sciencesLand surface temperatureAmazon rainforestbusiness.industry0211 other engineering and technologiesCloud computing02 engineering and technologyRainforest01 natural sciencesComputer Science ApplicationsSpatial ecologyHigh temporal resolutionEnvironmental scienceSatellite imageryModerate-resolution imaging spectroradiometerbusiness021101 geological & geomatics engineering0105 earth and related environmental sciencesInformation SystemsRemote sensingdescription
One 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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2016-07-04 | Data |