6533b7d4fe1ef96bd12631b6

RESEARCH PRODUCT

Using NASA'S Long Term Data Record version 3 for the monitoring of land surface vegetation

V. HidalgoR. Oltra-carrióYves JulienCristian MattarBelen FranchJ. C. Jiménez-muñozJosé A. SobrinoGuillem Soria

subject

Land surface temperatureRemote sensing (archaeology)Data reconstructionLong term dataEnvironmental scienceVegetationData pre-processingTime seriesNormalized Difference Vegetation IndexRemote sensing

description

Numerous datasets have been made available for the observation of our planet from space. The aim of this work is the observation of changes in vegetation, through the use of a recent remote sensing dataset, NASA's Long Term Data Record (LTDR). Several authors have pointed out that vegetation monitoring benefits of the simultaneous use of Normalized Difference Vegetation Index (NDVI) and land surface temperature (LST). Therefore, this work presents the procedure developed to monitor vegetation with the LTDR dataset, using both NDVI and LST parameters. This procedure includes data preprocessing (estimation of NDVI and LST, orbital drift correction, atmospherically contaminated data reconstruction), and analysis (Mann-Kendall statistical framework).

yearjournalcountryeditionlanguage
2011-07-012011 6th International Workshop on the Analysis of Multi-temporal Remote Sensing Images (Multi-Temp)
https://doi.org/10.1109/multi-temp.2011.6005096