A global 400-m high-resolution soil moisture dataset derived from multi-sensor remote sensing observations. [PDF]
Fang B, Lakshmi V, Hain C, Mishra V.
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A navigational risk evaluation of ferry transport: Continuous risk management matrix based on fuzzy Best-Worst Method. [PDF]
Pham LT, Hoang LV.
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A Global Multi-Source Tropical Cyclone Precipitation (MSTCP) Dataset. [PDF]
Morin G +2 more
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Mapping the density of giant trees in the Amazon. [PDF]
de Lima RB +20 more
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An increase in global daily precipitation records in response to global warming based on reanalysis and observations. [PDF]
Ciarlo' J, Giorgi F.
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Environmental drivers of spatial variation in tropical forest canopy height: Insights from NASA's GEDI spaceborne LiDAR. [PDF]
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Observation-constrained projections reveal longer-than-expected dry spells. [PDF]
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TRMM fire algorithm, product and applications
IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2004The TRMM Science Data and Information System (TSDIS) fire algorithm is a contextual approach that uses the TRMM Visible Infrared Scanner (VIRS) thermal channel brightness temperature, visible/near-infrared channel reflectance, and global land type data to retrieve fire pixels.
Yimin Ji, Erich Franz Stocker
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The Tropical Rainfall Measuring Mission (TRMM) Validation Program has established, participates in and supports a broad range of complementary activities, including instrument development, algorithm development, research on data assimilation techniques, modeling studies, field experiments and international cooperative arrangements, all aimed at ...
D.A. Short, O.W. Thiele
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Precipitation Radar (PR) is a key sensor of the Tropical Rainfall Measuring Mission (TRMM) that is a U.S./Japan joint project to measure tropical and sub-tropical rainfall from space. The preliminary design of the PR has been completed and currently an engineering model is being developed.
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