Article
Geosciences, Multidisciplinary
Jean Moussa Kourouma, Emmanuel Eze, Emnet Negash, Darius Phiri, Royd Vinya, Atkilt Girma, Amanuel Zenebe
Summary: The study aimed to characterize agricultural drought in Ethiopia and understand its effects on crop yield using NDVI and VCI values. Results showed that VCI and NDVI data are useful for drought monitoring in Ethiopia, and that crops like maize, teff, and beans are more vulnerable to drought.
GEOMATICS NATURAL HAZARDS & RISK
(2021)
Article
Geosciences, Multidisciplinary
V. K. Prajapati, M. Khanna, M. Singh, R. Kaur, R. N. Sahoo, D. K. Singh
Summary: The present study characterized drought in the Marathwada region of Maharashtra using meteorological, hydrological and agricultural drought indices. The study found that the 3-month SPI and 5-month VCI were the most appropriate time scales to observe meteorological and agricultural droughts, respectively, while none of the SDI's time scales could capture hydrological drought.
Article
Environmental Sciences
Reza Shakeri, Hossein Amini, Farshid Fakheri, Hamed Ketabchi
Summary: This paper examines the impact of drought on the Yazd province in Iran. The study uses the SPI and SWI indices to evaluate meteorological and hydrological drought, and employs machine learning algorithms to predict drought conditions. The results show an exacerbation of meteorological drought and a more severe hydrological drought in the region, primarily due to uncontrolled pumping wells.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Felicia O. Akinyemi
Summary: The study utilized remote sensing and Geographic Information System techniques to assess and map drought evolution in 17 constituencies of the Central District of Botswana. Results showed that the growing seasons of 2002-2003, 2003-2004, and 2015-2016 were the most drought-stricken in the entire time series, coinciding with the El Nino southern oscillation (ENSO).
Article
Green & Sustainable Science & Technology
Mehmet Dikici
Summary: Various vegetation indices have been used to monitor and mitigate the adverse effects of drought on water resources, especially in agriculture. This study examined the Seyhan Basin in Turkey and found an increasing trend in drought frequency. Decision-makers are recommended to use drought risk maps and develop long-term drought management plans.
Article
Environmental Sciences
Israel R. Orimoloye, Olusola O. Ololade, Johanes A. Belle
Summary: The study used Terra MOD13Q1 satellite data to assess drought events in the Free State Province, South Africa from 2001 to 2019. MODIS products and climate data were obtained from AppEEARS and NASA databases for analysis, with R programming used to process the data. The study identified water-stressed years, seasonal drought patterns, and compared drought events using the Vegetation Condition Index, highlighting the severity of summer droughts compared to winter droughts in the region. The results can be used for drought monitoring, decision-making, and disaster preparedness.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Meteorology & Atmospheric Sciences
Wenhan Lv, Chuanhao Wu, Pat J. -F. Yeh, Bill X. Hu
Summary: The study compared the global drought characteristics estimated by SWI and SPEI, finding that in arid regions, the drying trend in SPEI is stronger than in SWI. Additionally, there is a larger correlation between SWI and LSC compared to SPEI and LSC, particularly in arid regions.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2022)
Article
Geography, Physical
Eunbeen Park, Hyun-Woo Jo, Woo-Kyun Lee, Sujong Lee, Cholho Song, Halim Lee, Sugyeong Park, Whijin Kim, Tae-Hyung Kim
Summary: This study developed a diagnostic drought prediction model (DDPM) integrating meteorological and satellite data for advanced drought assessment in Kyrgyzstan, showing higher accuracy in explaining regional drought severity compared to the PDPM model. The integration of earth observation big data is expected to support policymakers and technical officials in establishing effective disaster risk reduction policies and action plans.
GISCIENCE & REMOTE SENSING
(2022)
Article
Environmental Sciences
Liupeng He, Liang Tong, Zhaoqiang Zhou, Tianao Gao, Yanan Ding, Yibo Ding, Yiyang Zhao, Wei Fan
Summary: This study presents a modified drought index that considers irrigation and compares its performance with other drought indexes. The results show that the modified index outperforms others, especially in areas with high irrigation. Future drought changes in the North China Plain and Loess Plateau are projected to be small, but the intensity of drought during the winter wheat growth period is expected to increase.
Article
Biodiversity Conservation
Shaobo Zhong, Ziheng Sun, Liping Di
Summary: This study extensively investigates vegetation drought response in the CONUS area using remote sensing technology, and finds good consistencies between remote sensing products and meteorological data. Time lags significantly affect the correlation between SPEI and VCI, and there are variations in vegetation responses to meteorological indices among different vegetation types and aridity levels.
ECOLOGICAL INDICATORS
(2021)
Article
Environmental Sciences
Shakirudeen Lawal, Bruce Hewitson, Temitope S. Egbebiyi, Ayodeji Adesuyi
Summary: The study evaluated the suitability of vegetation indices to monitor the response of Africa's terrestrial ecoregions to drought, using different remotely sensed derived drought indices and calculating their correlations with vegetation indices spatially, temporally, and seasonally. The results showed variations in the response of vegetation indices and derived drought indices across different timescales and regions in Africa.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Multidisciplinary Sciences
Changhong Liu, Cuiping Yang, Qi Yang, Jiao Wang
Summary: Drought in Sichuan Province shows differences in characteristics between different physiognomy types, with increasing intensity in the western region mainly concentrated in the Sichuan basin. Altitude is not the main factor causing spatial unevenness of precipitation in Sichuan Province, as altitude, temperature, longitude, and latitude jointly determine precipitation distribution.
SCIENTIFIC REPORTS
(2021)
Article
Geosciences, Multidisciplinary
Soheila Pouyan, Mojgan Bordbar, Venkatesh Ravichandran, John P. Tiefenbacher, Mehrzad Kherad, Hamid Reza Pourghasemi
Summary: This study utilized drought indicators to monitor drought in Iran spatially. Four drought indicators, including the temperature condition index (TCI), vegetation condition index (VCI), vegetation health index (VHI), and precipitation condition index (PCI) were analyzed based on data from 2016 to 2020. The results revealed severe drought in most of Iran in 2020 according to the TCI. The VCI showed that the northern region had the highest vegetation condition without drought. The VHI indicated increasing vegetation stress throughout the study period and severe and moderate droughts reached their peak in the aforementioned years. The PCI demonstrated a decrease in rainfall amounts across most of the country during the study period. The 30-year standardized precipitation index (SPI) showed that northern Iran had adequate rainfall, while most of the country experienced extreme and severe dryness. The analysis of the VHI index for agricultural plants identified critical drought conditions in 27.71% of Iran's agricultural regions, including the provinces of Razavi Khorasan, Hamadan, and Khozestan. This study provides valuable insights into drought monitoring indicators and enhances the understanding of drought in arid and semiarid regions.
Article
Environmental Sciences
Mehdi H. Afshar, Amen Al-Yaari, M. Tugrul Yilmaz
Summary: The study compared two commonly used vegetation indices in response to meteorological droughts and found that over 35% of NDVI, over 22% of VOD, and over 8% of both VIs anomalies had a significant response to drought events. The significance level of these differences and the response time of VIs varied with different land use and climate conditions.
Article
Environmental Sciences
Muhammad Waseem, Ali Hasan Jaffry, Muhammad Azam, Ijaz Ahmad, Adnan Abbas, Jae-Eun Lee
Summary: This study investigates the impacts of drought on wheat production in the Punjab province of Pakistan, which is the agricultural hub of the country. The results show that drought episodes during the wheat cropping season are recurrent, and drought significantly affects wheat yields, especially in zones 1 and 2. This study provides valuable evidence for authorities in disaster management and agricultural policy-making.
Article
Biodiversity Conservation
Santanu Nandi, Mili Ghosh, Arnab Kundu, Dipanwita Dutta, Moumita Baksi
JOURNAL OF COASTAL CONSERVATION
(2016)
Article
Geosciences, Multidisciplinary
Arnab Kundu, Suneet Dwivedi, Dipanwita Dutta
ARABIAN JOURNAL OF GEOSCIENCES
(2016)
Article
Geosciences, Multidisciplinary
Arnab Kundu, N. R. Patel, S. K. Saha, Dipanwita Dutta
Article
Environmental Sciences
Dipanwita Dutta, Atiqur Rahman, S. K. Paul, Arnab Kundu
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2019)
Article
Environmental Sciences
Arnab Kundu, N. R. Patel, D. M. Denis, Dipanwita Dutta
JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
(2020)
Article
Environmental Sciences
Subhadip Datta, Pulakesh Das, Dipanwita Dutta, Rakesh Kr. Giri
Summary: The study compared different machine learning and linear regression models for soil moisture estimation, and found that the random forest model performed the best. Combining field data with Sentinel-1 SAR data provided accurate surface soil moisture information for agriculture and water resource management decision making.
JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
(2021)
Article
Environmental Sciences
Arnab Kundu, Dipanwita Dutta, N. R. Patel, D. M. Denis, K. K. Chattoraj
Summary: The Bundelkhand region in central India has a history of long-term drought problems, with socio-economic vulnerability to drought largely dependent on local community coping capacity and relevant factors, necessitating the evaluation of drought risk through GIS and AHP for mitigation strategies.
JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
(2021)
Article
Marine & Freshwater Biology
Debajit Datta, Asit Kumar Roy, Arnab Kundu, Dipanwita Dutta, Sohini Neogy
Summary: Mudflats are important coastal wetlands with high carbon sequestration and biodiversity potentials. Accurate demarcation of wetland influence zones is crucial for sustainable wetland management. The use of NDWI and TVDI indices can help delineate different areas and monitor environmental changes around mudflats.
ESTUARINE COASTAL AND SHELF SCIENCE
(2021)
Article
Environmental Sciences
Dipanwita Dutta, Atiqur Rahman, S. K. Paul, Arnab Kundu
Summary: This study investigates the spatio-temporal changes in impervious surface in and around Delhi National Capital Territory using bi-temporal Landsat images from 2003 and 2014. The research highlights the significant growth of impervious land, especially in peri-urban centers surrounding Delhi, and its correlation with vegetation surface fraction, land surface temperature, and urban expansion. The study reveals a strong negative correlation between impervious surface fraction and urban expansion index, indicating the potential for urban expansion in less developed areas with abundant pervious surface.
Article
Environmental Sciences
Ishita Afreen Ahmed, Shahfahad, Dipanwita K. Dutta, Mirza Razi Imam Baig, Shouraseni Sen Roy, Atiqur Rahman
Summary: The research analyzed the climate change trends in the urban watershed of Guwahati, India from 1991 to 2019, finding that fluctuations in rainfall patterns directly affect the discharge of the Brahmaputra River, potentially leading to water security issues.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2021)
Article
Environmental Sciences
Animesh Choudhury, Dipanwita Dutta, Debarati Bera, Arnab Kundu
Summary: Analyzing historical drought patterns in India revealed regional variations in drought characteristics, with the northern part experiencing frequent droughts at shorter timescales and the western and northeastern parts encountering frequent droughts at longer timescales. The study identified six homogeneous regions using the K-means clustering algorithm and analyzed different drought parameters for each cluster, highlighting the importance of region-specific understanding for preparing adaptive strategies against drought impacts.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Environmental Sciences
Dipanwita Dutta, Atiqur Rahman, S. K. Paul, Arnab Kundu
Summary: Urban areas of developing countries have been experiencing rapid growth in recent years, but most cities lack proper planning and environmental concerns, highlighting the importance of green space dynamics for smart city planning.
GEOCARTO INTERNATIONAL
(2022)
Article
Economics
Dipanwita Dutta, Atiqur Rahman, S. K. Paul, Arnab Kundu
ANNALS OF REGIONAL SCIENCE
(2020)
Article
Geography
Arnab Kundu, D. M. Denis, N. R. Patel, Dipanwita Dutta
SINGAPORE JOURNAL OF TROPICAL GEOGRAPHY
(2018)
Article
Environmental Sciences
Dipanwita Dutta, Chandra Sekhar Das, Arnab Kundu
MODELING EARTH SYSTEMS AND ENVIRONMENT
(2016)