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Physical Sciences → Environmental Science → Ecology

Remote Sensing in Agriculture

This cluster of papers focuses on the use of remote sensing technology, particularly MODIS and Landsat data, for monitoring vegetation dynamics, phenology, and biomass estimation in response to global change and climate variability. The papers also explore the application of machine learning techniques for land cover classification and the assessment of ecological responses to environmental change.

133.6K works worldwide2M citations
Remote SensingVegetation MonitoringPhenologyMODISLandsatNDVIGlobal ChangeClimateBiomass EstimationMachine Learning

Journals publishing in this area

1International Journal of Geography Geology and Environment cover
International Journal of Geography Geology and Environment
ISSN 2706-748313 articles in this topic
7h-index

Articles on Scinovex in this research area

159 articles, most cited first · page 4 of 4

  1. Ensemble machine learning approaches for district-level crop yield prediction using multi-source data
    International Journal of Research in Agronomy · 2024 · 0 citations
  2. UAV-based multispectral imaging for real-time crop health assessment and yield estimation in wheat
    International Journal of Research in Agronomy · 2024 · 0 citations
  3. Remote sensing-based crop growth monitoring and yield prediction using machine learning algorithms
    International Journal of Research in Agronomy · 2024 · 0 citations
  4. Crop weather relationship modelling for yield prediction of mustard in northern India
    International Journal of Research in Agronomy · 2024 · 0 citations
  5. Mapping foliar nutrition of onion in the Namib desert edge
    International Journal of Horticulture and Food Science · 2024 · 0 citations · AI summary
  6. Formulating Galois representations over number fields with applications to Mongolian steppe grassland biomass
    International Journal of Statistics and Applied Mathematics · 2024 · 0 citations
  7. Geo-morphological mapping for land resource assessment study of north western part of Bhopal using remote sensing and GIS technique
    International Journal of Geography Geology and Environment · 2021 · 0 citations · AI summary
  8. Reconstructing global earth observation based vegetation index records with stochastic partial differential equations approach
    International Journal of Statistics and Applied Mathematics · 2018 · 0 citations · AI summary
  9. Reconstructing earth observation vegetation index records with a Bayesian spatiotemporal dynamic model
    International Journal of Statistics and Applied Mathematics · 2018 · 0 citations · AI summary