01399naa a2200193 a 450000100080000000500110000800800410001910000270006024502010008726000090028830000150029752006440031265300250095670000180098170000190099970000210101870000200103977301460105921306902021-03-15       2021    bl uuuu     u00u1 u    #d1 aTEIXEIRA, A. H. DE. C.  aBiophysical Characterization and Monitoring Large-Scale Water and Vegetation Anomalies by Remote Sensing in the Agricultural Growing Areas of the Brazilian Semi-Arid Region.h[electronic resource]  c2021  ap. 94-109.  aThe objective of this researchwas to test the operationality of coupling long series MODIS reflectance images and agrometeorological data for biophysical characterizations and further analyses of anomalies on water and vegetation conditions. The mixed weather and remote sensing parameters used were ET, BIO, and P at a 16-day period and 250m spatial scale, considering the period from 2003 to 2017. The counties of Petrolina and Juazeiro, Pernambuco and Bahia states, respectively, in the semi-arid of northeast Brazil, are considered the reference regions for semi-arid environments experiencing climate instability and land-use changes.  aWater and vegetation1 aLEIVAS, J. F.1 aPACHECO, E. P.1 aGARCON, E. A. M.1 aTAKEMURA, C. M.  tIn: PANDEY, P. C.; LAXMI, K. S. (Ed.). Advances in Remote Sensing for Natural Resource Monitoring. Nova Jersey, EUA: John Wiley & Sons, 2021.