TY - JOUR
T1 - Monitoring drought pattern for pre- and post-monsoon seasons in a semi-arid region of western part of India
AU - Shahfahad,
AU - Talukdar, Swapan
AU - Ali, Rayees
AU - Nguyen, Kim Anh
AU - Naikoo, Mohd Waseem
AU - Liou, Yuei An
AU - Islam, Abu Reza Md Towfiqul
AU - Mallick, Javed
AU - Rahman, Atiqur
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Springer Nature Switzerland AG.
PY - 2022/6
Y1 - 2022/6
N2 - Drought has become a regular phenomenon in the western semi-arid regions of India, where severe drought occurs once in 8–9 years. Therefore, two drought indices, namely temperature condition index (TCI) and vegetation condition index (VCI), were prepared from using Landsat datasets to appraise and monitor of drought pattern for the pre- and post-monsoon seasons between 1996 and 2016 in the Latur district, the north-western part of India. Additionally, the average frequency layers (AFL) of all drought and land use indices were prepared to analyse the correlation between them. The results show a substantial increase in the area under high, very high and severe drought classes both pre- and post-monsoon seasons during the study period. The highest increase was noticed from the high drought class from 2532.45 to 4792.49 sq. km and 1559.84 to 3342.32 sq. km for pre- and post-monsoon season, respectively, based on the TCI and 1269.81 to 1787.77 sq. km in very high drought class for the post-monsoon season using the VCI. The correlation analysis showed that there exists a significant relationship between the land use indices and drought indices. However, the spatial pattern of correlation was heterogeneous for both pre- and post-monsoon seasons. The results of this research can help in the drought management and mitigation planning in the study area. In addition, a similar approach may be applied to analyse drought patterns in other places with similar geographic characteristics as both VCI and TCI are cost-effective and less time-consuming methods and produce reliable outcomes.
AB - Drought has become a regular phenomenon in the western semi-arid regions of India, where severe drought occurs once in 8–9 years. Therefore, two drought indices, namely temperature condition index (TCI) and vegetation condition index (VCI), were prepared from using Landsat datasets to appraise and monitor of drought pattern for the pre- and post-monsoon seasons between 1996 and 2016 in the Latur district, the north-western part of India. Additionally, the average frequency layers (AFL) of all drought and land use indices were prepared to analyse the correlation between them. The results show a substantial increase in the area under high, very high and severe drought classes both pre- and post-monsoon seasons during the study period. The highest increase was noticed from the high drought class from 2532.45 to 4792.49 sq. km and 1559.84 to 3342.32 sq. km for pre- and post-monsoon season, respectively, based on the TCI and 1269.81 to 1787.77 sq. km in very high drought class for the post-monsoon season using the VCI. The correlation analysis showed that there exists a significant relationship between the land use indices and drought indices. However, the spatial pattern of correlation was heterogeneous for both pre- and post-monsoon seasons. The results of this research can help in the drought management and mitigation planning in the study area. In addition, a similar approach may be applied to analyse drought patterns in other places with similar geographic characteristics as both VCI and TCI are cost-effective and less time-consuming methods and produce reliable outcomes.
KW - Average frequency layer (AFL)
KW - Drought pattern
KW - Land use indices
KW - Latur district
KW - Temperature condition index (TCI)
KW - Vegetation condition index (VCI)
UR - http://www.scopus.com/inward/record.url?scp=85129212842&partnerID=8YFLogxK
U2 - 10.1007/s10661-022-10028-5
DO - 10.1007/s10661-022-10028-5
M3 - 期刊論文
C2 - 35488078
AN - SCOPUS:85129212842
SN - 0167-6369
VL - 194
JO - Environmental Monitoring and Assessment
JF - Environmental Monitoring and Assessment
IS - 6
M1 - 396
ER -