Wenzhe Jiao

TL;DR: In this paper, the authors compare the occurrence of drought, as detected by remote sensing across the Continental United States (CONUS) during 2011 and 2012 to compare various indices developed for the study of drought phenomena.

TL;DR: In this paper, the authors conduct a comprehensive evaluation of changes in water constraint on vegetation growth in the extratropical Northern Hemisphere between 1982 and 2015, finding that a significant increase in vegetation water constraint over this period was associated with a decreasing response time to water scarcity, suggesting a stronger susceptibility of vegetation to drought.

TL;DR: In this paper, a comprehensive review of large-scale remote sensing datasets that can be used for multi-sensor drought studies is presented, with a particular focus on drought related datasets, drought related phenomena and mechanisms, and drought modeling.

TL;DR: Geographically Independent Integrated Drought Index (GIIDI) as mentioned in this paper was proposed to combine the temperature condition index (TCI) from the Moderate-resolution Imaging Spectroradiometer (MODIS), the Vegetation Condition Index (VCI) developed using the Universal Pattern Decomposition method (VIUPD), the Soil Moisture Condition Index(SMCI) derived from the Advanced Microwave Scanning Radiometer-Earth Observation System (AMSR-E), and the Precipitation Condition Index from the Tropical Rainfall Measuring Mission (

TL;DR: The VIUPD-derived VCI had stronger correlations with long-term in situ drought indices, such as the Palmer Drought Severity Index (PDSI) and the standardized precipitation index (SPI-3, SPI-6, SPI -9, and SPI-12) than did the NDVI- derived VCI, and other indices,such as TCI, PCI and SMCI.