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Integrating Remote Sensing and Meteorological Data to Predict Wheat Stripe Rust
Remote Sensing, 2022 Wheat stripe rust poses a serious threat to wheat production. An effective prediction method is important for food security. In this study, we developed a prediction model for wheat stripe rust based on vegetation indices and meteorological features ...
Chao Ruan +7 more
doaj +1 more source
MODISTools - downloading and processing MODIS remotely sensed data in R [PDF]
, 2014 Remotely sensed data – available at medium to high resolution across global spatial and temporal scales – are a valuable resource for ecologists. In particular, products from NASA's MODerate-resolution Imaging Spectroradiometer (MODIS), providing twice ...
Andy Purvis +6 more
core +2 more sources
Identification of Forest Vegetation Using Vegetation Indices
Chinese Journal of Population Resources and Environment, 2004 Abstract Spectral feature of forest vegetation with remote sensing techniques is the research topic all over the world, because forest plays an important role in human beings' living environment. Research on vegetation classification with vegetation index is still very little recently.
Yuan Jinguo, Wang Wei
openaire +1 more source
Al-Mustansiriyah Journal of Science, 2021 Vegetation cover is considered one of the most important factors that affect weather, climate, and the environment. This paper aims to study the correlation between land surface temperature and the Vegetation Indices using Landsat data in Duhok ...
Aws Ali AlKhudhairy, Yaseen K. Al-Timimi
doaj +1 more source
Evaluation of pre/post-fire differenced spectral indices for assessing burn severity in a Mediterranean environment with landsat thematic mapper [PDF]
, 2011 In this study several pre/post-fire differenced spectral indices for assessing burn severity in a Mediterranean environment are evaluated. GeoCBI (Geo Composite Burn Index) field data of burn severity were correlated with remotely sensed measures, based ...
Goossens, Rudi +3 more
core +2 more sources
Egyptian Journal of Remote Sensing and Space Sciences, 2011 Quantitative estimation of canopy biophysical variables are very important in different studies such as meteorology, agriculture and ecology, so knowledge of the spatial and temporal distribution of these variables would be highly beneficial.
Susan Barati +4 more
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Detection of irrigation inhomogeneities in an olive grove using the NDRE vegetation index obtained from UAV images [PDF]
, 2019 We have developed a simple photogrammetric method to identify heterogeneous areas of irrigated olive groves and vineyard crops using a commercial multispectral camera mounted on an unmanned aerial vehicle (UAV).
Jorge Sánchez, Juan +2 more
core +2 more sources
Sensors, 2021 The presented paper deals with the issue of selecting a suitable system for monitoring the winter wheat crop in order to determine its condition as a basis for variable applications of nitrogen fertilizers.
Jiří Mezera +4 more
doaj +1 more source
Agronomy, 2021 Remote-sensing measurements are crucial for smart-farming applications, crop monitoring, and yield forecasting, especially in fields characterized by high heterogeneity.
Nicoleta Darra +5 more
doaj +1 more source
Narrow band based and broadband derived vegetation indices using Sentinel-2 Imagery to estimate vegetation biomass [PDF]
Global Journal of Environmental Science and Management, 2020 Forest’s ecosystem is one of the most important carbon sink of the terrestrial ecosystem. Remote sensing technology provides robust techniques to estimate biomass and solve challenges in forest resource assessment.
A.B. Imran +5 more
doaj +1 more source