Agricultural land management is undergoing a major transformation due to the development of precision agriculture, remote sensing, geographic information systems (GIS), and data-based decision-support technologies, which are transforming the way land resources are surveyed, assessed, managed, and governed across a wide range of agro-climatic environments. This paper is a synthesis of research o...

This study examines the anthropogenic determinants of land take using a spatially extended STIRPAT (Stochastic Impacts by Regression on Population, Affluence, and Technology) framework applied to panel data from 1,600 municipalities in Bavaria, Germany, covering the period from 2014–2022. A Spatial Durbin Error Model is employed to account for spatial dependence and spillover effects across nei...

Classifying land use and land cover (LULC) is a fundamental process in remote sensing and geographical information systems (GIS) that is essential to many applications, including disaster assessment, urban planning, environmental monitoring, and natural resource management. Understanding the dynamics of landscapes and how they evolve over time requires accurate classification of land use and la...

Bangladesh is emerging as a key case for climate-resilient agriculture in circumstances of land scarcity and environmental stress. This review collates existing evidence towards understanding the role of sustainable agriculture practices and land restoration interventions in supporting food security and resilience. Systematic literature review following Preferred Reporting Items for Systematic ...

Recent legislative reforms in Italy have reshaped the legal framework governing agrivoltaic installations, particularly following Law No. 4 of 15 January 2026, which converted Decree-Law No. 175 of 21 November 2025 and amended the Renewable Energy Sources Consolidated Act (Legislative Decree No. 190/2024). This article examines how the reform affects the legal classification of agrivoltaic proj...

Mangroves are critical for climate change adaptation but face increasing threats from hurricanes and anthropogenic pressures. Quantitative baselines for post-disturbance conditions remain limited in Cuba. We integrated field forest inventories (40 permanent 100 m² plots) with remote sensing time series (aerial photographs: 1957, 1970, 1999; Landsat 7: 2003; Sentinel-2A: 2022, 2025) i...