Remote Sensing In subject area: Agricultural and Biological Sciences Remote sensing is the science and art of obtaining information about the Earth's surface through the analysis of data acquired by a device which is at a distance from the surface. From: International Encyclopedia of the Social &...
Remote-sensing-based approaches for the measurement of LAI include estimation by modelling the relationship between spectral indices such as NDVI and LAI, as well as the use of bidirectional reflectance distribution function (BRDF) (Curran and Steven, 1983; Price, 1993; Qi et al., 2000). Broad...
Forest health monitoringRemote sensingDIEBACKVegetation indicesSibara forestCork oak forests in Morocco are rich in resources and services thanks to their great... Y Dallahi,A Boujraf,M Meliho,... - 林业研究:英文版 被引量: 0发表: 2023年 Remote Sensing Technologies for Monitoring Argane Forest...
Remote sensing has transformed the monitoring of life on Earth by revealing spatial and temporal dimensions of biological diversity through structural, compositional and functional measurements of ecosystems. Yet, many aspects of Earth’s biodiversity are not directly quantified by reflected or emitted phot...
Remote sensing images and techniques are powerful tools to investigate earth’s surface. Data quality is the key to enhance remote sensing applications and obtaining clear and noise-free set of data is very difficult in most situations due to the varying
et al. Maize yield estimation in West Africa from crop process-induced combinations of multi-domain remote sensing indices. Eur. J. Agron. 108, 11–26 (2019). Article Google Scholar Karpatne, A. et al. Theory-guided data science: a new paradigm for scientific discovery from data. IEEE ...
Remote Sensing of the Cryosphere(Tedesco2014), describes these tools and methods in great detail; here we review some of the major techniques. In all of the discussion below, the importance of change over time is paramount; inter- and intra-annual variation in snow and ice cover are ...
Spectral Indices derived from multispectral remote sensing products are extensively used to monitor Earth system dynamics (e.g. vegetation dynamics, water bodies, fire regimes). The rapid increase of proposed spectral indices led to a high demand for catalogues of spectral indices and tools for their...
However, different indices have different data requirements and applications. Hence, evaluating their applicability will help to characterize drought events and refine the development of effective drought indices. We constructed different drought indices based on multisource remote sensing data and ...
Spectral Indices derived from multispectral remote sensing products are extensively used to monitor Earth system dynamics (e.g. vegetation dynamics, water bodies, fire regimes). The rapid increase of proposed spectral indices led to a high demand for catalogues of spectral indices and tools for their...