Results 31 to 40 of about 302,131 (219)
Multitemporal fusion of Landsat/TM and ENVISAT/MERIS for crop monitoring
Abstract Monitoring Earth dynamics using current and future satellites is one of the most important objectives of the remote sensing community. The exploitation of image time series from sensors with different characteristics provides new opportunities to increase the knowledge about environmental changes and to support many operational applications.
Julia Amorós-López +6 more
openaire +3 more sources
ABSTRACT Understanding the spatiotemporal dynamics of land use change (LUC), land surface temperature (LST), and vegetation indices is critical for assessing ecological changes and informing sustainable land management. This study investigates the long‐term interrelationships between LUC, LST, and vegetation indices in China's Caohai National Nature ...
Yin Su, Ran Liu, Jie Liu, Xiaohui Xue
wiley +1 more source
ABSTRACT Aeolian dust source areas are controlled by climate and human activities and are closely associated with land degradation, yet their long‐term evolution under global warming remains insufficiently quantified. An integrated framework that couples a U‐Net segmentation model with Shapley Additive Explanations (SHAP) was built to map and attribute
Yanyu Li +5 more
wiley +1 more source
Remote sensing can reveal population dynamics of Antarctic penguin colonies. In this study, we analyze emperor penguin (Aptenodytes forsteri) guano stains in remote sensing imagery and discover colony presence predating known records for 18 colonies across Antarctica.
Martynas Bielinis +3 more
wiley +1 more source
Cycles of dieback and recovery drove mangrove forest dynamics at the Albert and Leichhardt Rivers (Gulf of Carpentaria, Queensland, Australia) over 36 years (1987–2023). Landward margins were the most affected by reduced tidal inundation when the alignment of low lunar declination suppressed tidal range and extreme El Niño phases lowered mean sea level.
Rogerio Victor S. Gonçalves +4 more
wiley +1 more source
We present a deep learning framework integrating remote sensing and SHAP interpretation to map 22‐year habitat dynamics of herbivorous waterbirds in Dongting Lake. Results show nearly 50% habitat loss, driven primarily by hydrological recession timing rather than static inundation extent.
Dongshuo Lu +6 more
wiley +1 more source
Integração de imagens de sensores de microondas e ópticos para fins de mapeamento e classificação de reflorestamentos no sul do Brasil [PDF]
Tese (doutorado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Engenharia de ProduçãoO presente trabalho teve por objetivo avaliar as potencialidades de sensores ópticos e de microondas para a elaboração de ...
Rosot, Nelson Carlos
core
Análise Comparativa do CBERS-2 e Imagens de Satélite Landsat-TM em Cartografia da Vegetação
Moderate resolution sensors such as Landsat satellites are a vital component of earth observation and required in a wide variety of applications across many disciplines.
Jinmu Choi +2 more
doaj
Proposal for a remote sensing trophic state index based upon Thematic Mapper/Landsat images
This work proposes a trophic state index based on the remote sensing retrieval of chlorophyll-α concentration. For that, in situ Bidirectional Reflectance Factor (BRF) data acquired in the Ibitinga reservoir were resampled to match Landsat/TM spectral ...
Evlyn Márcia Leão de Moraes Novo +4 more
doaj +1 more source
Abstract In recent years, the Three Gorges Reservoir Region (TGRR) has been increasingly affected by climate change, with frequent flood events posing challenges to regional flood control. The NO.1 flood of the Daning River in 2024 further highlights the severity of flood risks in the region.
Wenlong Song +8 more
wiley +1 more source

