The necessity of sustainable development for landscapes has emerged as an important theme in recent decades. Current methods take a holistic approach to landscape heritage and promote interdisciplinary dialogue facilitate complementary management strategies. With the socio-economic values “natural” “cultural” increasingly recognised worldwide, remote sensing tools are being used more rec...

A greenhouse is an important land-use type, which can effectively improve agricultural production conditions and increase crop yields. It of great significance to obtain the spatial distribution data greenhouses quickly accurately for regional food security. Based on Google Earth Engine cloud platform Landsat 8 images, this study selected a total 18 indicators from three aspects spectral featur...

Recent studies have demonstrated the potential of using bidirectional reflectance distribution function (BRDF) signatures captured by multi-angle observation data to enhance land cover classification and retrieve vegetation architectures. Considering diversity crop architectures, we proposed that mapping precision may be enhanced BRDF signatures. We compared accuracy four supervised machine lea...

Quantifying and monitoring the spatial and temporal dynamics of the global land cover is critical for better understanding many of the Earth's land surface processes. However, the lack of regularly updated, continental-scale, and high spatial resolution (30 m) land cover data limit our ability to better understand the spatial extent and the temporal dynamics of land surface changes. Despite the...

Coastal forests along the southeastern Gulf of Mexico are known to be diminishing at an alarming rate. The live-oak dominant chenier southeast Louisiana amongst those exhibiting steepest declines. remnant stands have experienced numerous hurricanes and intense storm events in recent years, calling into question current status immediate future this imperiled natural resource. Despite their noted...

The purpose of this study was to evaluate the feasibility and applicability object-oriented crop classification using Sentinel-1 images in Google Earth Engine (GEE). In study, two areas (Keshan farm Tongnan town) with different average plot sizes Heilongjiang Province, China, were selected. research time consecutive years (2018 2019), which used verify robustness method. growth period (May Sept...

High-accuracy land use and cover maps (LULC) are increasingly in demand for environmental management decision-making. Despite the limitation, Machine learning classifiers (MLC) fill gap any complex issue related to LULC data accuracy. Visualizing land-cover information is critical mitigating Côte d’Ivoire’s deforestation planning using Google Earth Engine (GEE) software. This paper estimates pr...