# Remote Sensing in Agriculture

{
  "id": "T10111",
  "title": "Remote Sensing in Agriculture",
  "url": "/topics/T10111",
  "kind": "topic-directory",
  "aeo_cohort": "topic-directory",
  "provider": "openalex",
  "revision": "bf4c156620c1d9df",
  "catalogue_revision": "f050b5d4780b1289",
  "numeric_address": "36108547260337919",
  "address_version": "morton4x16-v1",
  "coordinates": [
    3,
    23,
    2303,
    10111
  ],
  "answer_status": "Directory metadata; local answer requires separate source review",
  "truth_status": "Subject descriptor, not a factual answer or a demonstrated knowledge gap"
}

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.

Directory metadata is not a factual answer or evidence of a global knowledge gap.

Source: https://openalex.org/T10111

No owner-reviewed local answer yet.