When Geoscience Meets Foundation Models: Toward a general geoscience artificial intelligence system
Artificial intelligence (AI) has significantly advanced Earth sciences, yet its full potential in to
comprehensively modeling Earth's complex dynamics remains unrealized. Geoscience …
comprehensively modeling Earth's complex dynamics remains unrealized. Geoscience …
[HTML][HTML] Microbiological dimensions and functions in constructed wetlands: A review
Constructed wetlands (CWs) have emerged as robust alternatives to traditional wastewater
treatment technologies. The efficacy of CWs centers on the intricate interplay of factors …
treatment technologies. The efficacy of CWs centers on the intricate interplay of factors …
Impact assessment of agricultural droughts on water use efficiency in different climatic regions of Punjab Province Pakistan using MODIS time series imagery
Drought is the most destructive phenomenon that distresses the terrestrial carbon cycle
balance and crop production. The variation in evapotranspiration (ET) and gross primary …
balance and crop production. The variation in evapotranspiration (ET) and gross primary …
Monitoring landuse change in Uchhali and Khabeki wetland lakes, Pakistan using remote sensing data
Although it is a globally significant wetland, the ecological environment of Soon valley
(Ucchali and Khabeki wetland lakes, Pakistan) is being negatively impacted by the rapid …
(Ucchali and Khabeki wetland lakes, Pakistan) is being negatively impacted by the rapid …
Evaluating machine learning approaches for aboveground biomass prediction in fragmented high-elevated forests using multi-sensor satellite data
Accurate aboveground biomass (AGB) estimations over large areas are essential for
assessing carbon stocks and forest resources. This study evaluated machine learning …
assessing carbon stocks and forest resources. This study evaluated machine learning …
Integrated assessment and geostatistical evaluation of groundwater quality through water quality indices
This study undertook an assessment of 24 physiochemical parameters at over 1094 sites to
compute the water quality index (WQI) across the upper and central Punjab regions of …
compute the water quality index (WQI) across the upper and central Punjab regions of …
Assessing climatic impacts on land use and land cover dynamics in Peshawar, Khyber Pakhtunkhwa, Pakistan: a remote sensing and GIS approach
This study investigates the land use and land cover (LULC) changes in Peshawar, Pakistan,
from 2002 to 2022, and their relationship with local climate patterns. Utilizing a combination …
from 2002 to 2022, and their relationship with local climate patterns. Utilizing a combination …
Landscape fragmentation of built-up land significantly impact on water quality in the Yellow River Basin
J Dou, R Xia, K Zhang, C Xu, Y Chen, X Liu… - Journal of …, 2024 - Elsevier
Urbanization development often leads to significant changes in the extent in area and
fragmentation of built-up land landscape pattern (BLLP) in river basins, which greatly impact …
fragmentation of built-up land landscape pattern (BLLP) in river basins, which greatly impact …
Machine Learning-Based Wetland Vulnerability Assessment in the Sindh Province Ramsar Site Using Remote Sensing Data
Wetlands provide vital ecological and socioeconomic services but face escalating pressures
worldwide. This study undertakes an integrated spatiotemporal assessment of the …
worldwide. This study undertakes an integrated spatiotemporal assessment of the …
Geospatial insights into groundwater contamination from urban and industrial effluents in Faisalabad
Groundwater remains the most dependable resource for various essential uses such as
drinking, cleansing, agricultural irrigation, and industrial applications. In urban areas, the …
drinking, cleansing, agricultural irrigation, and industrial applications. In urban areas, the …