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Worldwide mining activities are one of the major anthropogenic activities that have caused high forest cover loss (FCL). In this study, we have quantified FCL in Odisha State due to mining activities analyzing Hansen Global Forest Change (HGFC) time series data for the period of 2001-2019 in Google Earth Engine platform. Our analysis suggests that Nabarangpur, Puri, Kendrapara, and Kalahandi districts lost more than 20% of their forest cover during this period. Rayagada and Koraput were the top two districts that recorded the highest FCL with mean change rates of 13.81 km/year and 7.17 km/year, respectively. The results point out that mining operations have grown in recent years in Odisha State, and the increase in these activities has contributed to the increase in FCL. This study offers a cost-effective methodology to monitor FCL in mining areas which will eventually contribute to the protection of forest biodiversity and forest dwelling tribal population.
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http://dx.doi.org/10.1016/j.jenvman.2021.114067 | DOI Listing |
Environ Manage
September 2025
TEMSUS Research Group, Catholic University of Ávila, Ávila, Spain.
Forests have been increasingly affected by natural disturbances and human activities. These impacts have caused habitat fragmentation and a loss of ecological connectivity. This study examines potential restoration pathways that reconnect the five largest forest cores in the Castilla y León region of Spain.
View Article and Find Full Text PDFEnviron Monit Assess
September 2025
Institute of Earth Sciences, Southern Federal University, Rostov-On-Don, Russia.
Sustainable urban development requires actionable insights into the thermal consequences of land transformation. This study examines the impact of land use and land cover (LULC) changes on land surface temperature (LST) in Ho Chi Minh city, Vietnam, between 1998 and 2024. Using Google Earth Engine (GEE), three machine learning algorithms-random forest (RF), support vector machine (SVM), and classification and regression tree (CART)-were applied for LULC classification.
View Article and Find Full Text PDFMar Pollut Bull
September 2025
CSIR-National Institute of Oceanography, Dona Paula, Goa, 403004, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India.
The Indian Sundarban Delta (ISD), located at the confluence of the Ganga-Brahmaputra-Meghna river system along India's eastern coast, is among the world's most geomorphologically dynamic and environmentally vulnerable deltaic systems. Over the past five decades, the region has undergone substantial morphodynamic changes driven by natural forces such as relative sea-level rise, wave action, and sediment flux, as well as anthropogenic factors like upstream water regulation via dams and barrages. This study examines the long-term evolution of shoreline and island morphology across the ISD from 1972 to 2025 using multi-temporal Landsat datasets under consistent tidal conditions.
View Article and Find Full Text PDFEnviron Monit Assess
September 2025
Indira Gandhi Conservation Monitoring Centre, World Wide Fund-India, New Delhi, 110003, India.
Understanding the intricate relationship between land use/land cover (LULC) transformations and land surface temperature (LST) is critical for sustainable urban planning. This study investigates the spatiotemporal dynamics of LULC and LST across Delhi, India, using thermal data from Landsat 7 (2001), Landsat 5 (2011) and Landsat 8 (2021) resampled to 30-m spatial resolution, during the peak summer month of May. The study aims to target three significant aspects: (i) to analyse and present LULC-LST dynamics across Delhi, (ii) to evaluate the implications of LST effects at the district level and (iii) to predict seasonal LST trends in 2041 for North Delhi district using the seasonal auto-regressive integrated moving average (SARIMA) time series model.
View Article and Find Full Text PDFJ Behav Health Serv Res
September 2025
Center of Practice Transformation, School of Social Work, University of Minnesota-Twin Cities, Saint Paul, MN, USA.
People with mental health and substance use disorders (SUDs) experience worse outcomes, including increased mortality risk, compared to those with SUDs alone. Access to safe, stable housing, in conjunction with treatment, such as intensive outpatient programs (IOP), is vital in early recovery. Nevertheless, those with historically marginalized identities may experience increased disparities in accessing and utilizing services.
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