Read e-book online Biophysical Applications of Satellite Remote Sensing PDF

By Alfredo Huete, Tomoaki Miura (auth.), Jonathan M. Hanes (eds.)

ISBN-10: 3642250467

ISBN-13: 9783642250460

ISBN-10: 3642250475

ISBN-13: 9783642250477

A number of biophysical functions (e.g. leaf region index and gross fundamental productiveness) were derived from measurements of the Earth method acquired remotely by way of NASA’s MODIS sensors and different satellite tv for pc structures. In Biophysical functions of satellite tv for pc distant Sensing, the authors describe significant functions of satellite tv for pc distant sensing for learning Earth's biophysical phenomena. the focal point of the booklet lies at the huge palette of particular purposes (metrics) of biophysical task derived utilizing satellite tv for pc distant sensing. With in-depth discussions of satellite-derived biophysical metrics that spotlight particularly on thought, technique, validation, significant findings, and instructions of destiny learn, this e-book offers an outstanding source for distant sensing experts, ecologists, geographers, biologists, climatologists, and environmental scientists.

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2006). The Visible Infrared Imaging Radiometer Suite (VIIRS) instrument on the Joint Polar Satellite System (JPSS) program will extend the VI data record of essential measurements begun by the NOAA-AVHRR and Fig. 16 Illustration of the MODIS Global Disturbance Index (MGDI) concept for detection and mapping large-scale landscape disturbances. Disturbances will cause departures from normal variations dependent on the type and severity of the event. a In the case of wildfire, there are instantaneous changes in MODIS LST and EVI, while in the case of hurricanes (b), there is no immediate spike on LST and MGDI values increase the year after the disturbance event.

CRC Press/Taylor and Francis Group, New York Huete A, Didan, K, van Leeuwen W, Miura T, Glenn E (2011) MODIS Vegetation Indices, In: Ramachandran B, Justice CO, Abrams M (eds) Land remote sensing and global environmental change: NASA’s earth observing system and the science of ASTER and MODIS, vol 11. Springer, Berlin Huete A, Didan K, Miura T, Rodriguez EP, Gao X, Ferreira LG (2002) Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sens Environ 83(1–2):195–213 36 A.

Relative to more complex satellite algorithms, VIs are more easily fused across multiple sensor systems facilitating the underlying need to ensure continuity for long term monitoring (Fig. 17). g. Los 1993; Roderick et al. 1996) and confirmed the feasibility of NDVI translation across MODIS, SPOT-VGT, Seaviewing Wide Field-of-view Sensor (SeaWiFS), AVHRR, and the Landsat ETM+ sensors (Fensholt 2004; Gallo et al. 2005; Gitelson and Kaufman 1998; Miura et al. 2006; Trishchenko et al. 2002; Tucker et al.

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Biophysical Applications of Satellite Remote Sensing by Alfredo Huete, Tomoaki Miura (auth.), Jonathan M. Hanes (eds.)

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