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In the next decades, agricultural productivity will need to increase considerably to feed future generations. However, some intensification approaches may have an impact on land degradation, ecosystems, biodiversity, pollution, CO2 emissions and so on. The trade-off between agriculture and environment is a critical issue for policy makers charged with managing both the food supply and the sustainable use of the land. Reliable data are crucial for developing effective policies and for evaluating their impact. Due to technological development, in the last decades, different kinds of geospatial data have become easily accessible at decreasing prices and have started to be an important support to agricultural monitoring. In this talk, we focus on the main methodological aspects behind the use of geospatial technology for agricultural monitoring and for producing reliable and timely agricultural statistics. Particular attention is devoted to the main types of agricultural probability sample surveys based on area sampling frames and corresponding estimation. The use of remote sensing data at the design level (area frame construction and stratification) as well as at the estimator level is also analysed.

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Important Date
  • Jun 29


    Conference Date

Sponsored By
International Association of Survey Statisticians
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