Crop Identification and Area Estimation in the Southern Part of the Province of Buenos Aires, Argentina - Using LANDSAT Data,

Abstract

The feasibility of MSS LANDSAT data analysis for crop recognition and area estimation was tested in a pilot area in Argentina, as an attempt to improve the current conventional crop production forecasting method. The main crop in Argentina is wheat and the study area was the Partido of Tres Arroyos. Two contiguous crop years were considered; LANDSAT and ground data were used and two methods (total coverage and sample estimation) were tested. Results show that oats are an important confusion crop but when considering them together as cereals the identification accuracy level is high.

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1982
Accession Number
ADP002011

Entities

People

  • F. V. Redondo

Tags

DTIC Thesaurus Topics

  • Accuracy
  • Argentina
  • Data Analysis
  • Delphi Method
  • Environment
  • Identification
  • Neurobehavioral Manifestations
  • Production
  • Recognition
  • Remote Sensing

Readers

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