PMID- 33394397
OWN - NLM
STAT- MEDLINE
DCOM- 20210331
LR  - 20210331
IS  - 1614-7499 (Electronic)
IS  - 0944-1344 (Linking)
VI  - 28
IP  - 14
DP  - 2021 Apr
TI  - Global drought monitoring with big geospatial datasets using Google Earth Engine.
PG  - 17244-17264
LID - 10.1007/s11356-020-12023-0 [doi]
AB  - Drought or dryness occurs due to the accumulative effect of certain 
      climatological and hydrological variables over a certain period. Droughts are 
      studied through numerically computed simple or compound indices. Vegetation 
      condition index (VCI) is used for observing the change in vegetation that causes 
      agricultural drought. Since the land surface temperature has minimum influence 
      from cloud contamination and humidity in the air, so the temperature condition 
      index (TCI) is used for studying the temperature change. Dryness or wetness of 
      soil is a major indicator for agriculture and hydrological drought and for that 
      purpose, the index, soil moisture condition index (SMCI), is computed. The 
      deviation of precipitation from normal is a major cause for meteorological 
      droughts and for that purpose, precipitation condition index (PCI) is computed. 
      The years when the indices escalated the dryness situation to severe and extreme 
      are pointed out in this research. Furthermore, an interactive dashboard is 
      generated in the Google Earth Engine (GEE) for users to compute the said indices 
      using country boundary, time period, and ecological mask of their choice: 
      Agriculture Drought Monitoring. Apart from global results, three case studies of 
      droughts (2002 in Australia, 2013 in Brazil, and 2019 in Thailand) computed via 
      the dashboard are discussed in detail in this research.
FAU - Khan, Ramla
AU  - Khan R
AUID- ORCID: 0000-0002-5922-4178
AD  - Institute of Space Technology, Islamabad, Pakistan. ramla3903@gmail.com.
FAU - Gilani, Hammad
AU  - Gilani H
AD  - Institute of Space Technology, Islamabad, Pakistan.
LA  - eng
PT  - Journal Article
DEP - 20210104
PL  - Germany
TA  - Environ Sci Pollut Res Int
JT  - Environmental science and pollution research international
JID - 9441769
SB  - IM
MH  - Australia
MH  - Brazil
MH  - *Droughts
MH  - *Meteorology
MH  - Thailand
OTO - NOTNLM
OT  - Case studies
OT  - Drought indices
OT  - Global drought
OT  - Google Earth Engine
OT  - Interactive dashboard
OT  - Satellite data
EDAT- 2021/01/05 06:00
MHDA- 2021/04/01 06:00
CRDT- 2021/01/04 12:19
PHST- 2020/08/08 00:00 [received]
PHST- 2020/12/08 00:00 [accepted]
PHST- 2021/01/05 06:00 [pubmed]
PHST- 2021/04/01 06:00 [medline]
PHST- 2021/01/04 12:19 [entrez]
AID - 10.1007/s11356-020-12023-0 [pii]
AID - 10.1007/s11356-020-12023-0 [doi]
PST - ppublish
SO  - Environ Sci Pollut Res Int. 2021 Apr;28(14):17244-17264. doi: 
      10.1007/s11356-020-12023-0. Epub 2021 Jan 4.