The rapid growth of remote sensing big data (RSBD) has attracted considerable attention
from both academia and industry. Despite the progress of computer technologies …

Remote sensing time series research and applications are advancing rapidly in land, ocean,
and atmosphere science, demonstrating emerging capabilities in space-based monitoring …

Ship detection plays a crucial role in a variety of military and civilian marine inspection
applications. Infrared images are irreplaceable data sources for ship detection due to their …

Tea trees (Camellia sinensis), a quintessential homestead agroforestry crop cultivated in
over 60 countries, hold significant economic and social importance as a vital specialty cash …

Big optical Earth observation (EO) data analytics usually start from numerical, sub-symbolic
reflectance values that lack inherent semantic information (meaning) and require …

Exploring the influence of vegetation carbon stocks over land-cover change and the
relationship between land-cover change and net primary production (NPP) is of great …

This study presents the first high-resolution Land Use/Land Cover dataset for Iran in 2022
(ILULC-2022), with a particular emphasis on the agricultural areas. This research employed …

The effective integration of aerial remote sensing data and ground multi-source data has
always been one of the difficulties of quantitative remote sensing. A new monitoring mode is …

Since the 1950s, an intense sand and gravel quarrying from the river floodplains led to the
formation of pit lakes (PLs) that have changed the morphology and the drainage system of …

Accurate and up-to-date habitat maps at national or regional levels are critical for informing
conservation and restoration actions. Land cover maps generated from Earth Observation …