Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and limited ...

Microsoft has added official Python support to Aspire 13, expanding the platform beyond .NET and JavaScript for building and running distributed apps. Documented today in a Microsoft DevBlogs post, ...

ABSTRACT: Rapid peri-urbanization in agricultural highland corridors can erode natural capital and undermine water security, yet few studies provide spatially explicit, multi-decadal valuations of ...

Land use and land cover (LULC) analysis has become increasingly significant in environmental studies due to its direct impact on the environment. Changes in LULC affect the ecological and climatic ...

Abstract: Urban climate change studies necessitate long-term monitoring to manage urban environments. The Bangkok Metropolitan Region (BMR) faces challenges like increased urban heat island effects, ...

The share of Americans in the middle class is shrinking as rising costs outpace many workers' pay. While wages have grown in recent years, inflation and higher expenses for essentials like housing and ...

This project focuses on land use and land cover classification using Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). The classification task aims to predict the category of ...