Arbeitspapier

Measuring rice yield from space: The case of Thai Binh Province, Viet Nam

Despite a growing interest in using satellite data to estimate paddy rice yield in Southeast Asia, significant cloud coverage has led to a scarcity of usable optical data for such analysis. In this paper, we study the feasibility of using two alternative sources of satellite data - (i) surface reflectance fusion data which integrates Landsat and Moderate Resolution Imaging Spectroradiometer (MODIS) images, and (ii) L-band radar backscatter data from the Advanced Land Observing Satellite 2 (ALOS-2) PALSAR-2 sensors - to circumvent the cloud cover problem and estimate yield in Thai Binh Province, Viet Nam during the second growing season of 2015. Our findings indicate that although Landsat - MODIS fusion data are not necessarily beneficial for paddy rice mapping when compared with only using Landsat data, fusion data allows us to estimate the peak value of various vegetation indexes and derive the best empirical relationship between these indexes and yield data from the field. We also find that the L-band radar data not only has a lower performance in paddy rice mapping when compared with optical data, but also contributes little to rice yield estimation.

Sprache
Englisch

Erschienen in
Series: ADB Economics Working Paper Series ; No. 541

Klassifikation
Wirtschaft
Econometric and Statistical Methods: Special Topics: General
Economic Development: Agriculture; Natural Resources; Energy; Environment; Other Primary Products
Agricultural Policy; Food Policy
Thema
agriculture
ALOS-2
crop cutting
crop yield
Fusion
Landsat
MODIS
paddy rice
remote sensing
Viet Nam

Ereignis
Geistige Schöpfung
(wer)
Guan, Kaiyu
Hien, Ngo The
Li, Zhan
Rao, Lakshman Nagraj
Ereignis
Veröffentlichung
(wer)
Asian Development Bank (ADB)
(wo)
Manila
(wann)
2018

DOI
doi:10.22617/WPS189283-2
Handle
Letzte Aktualisierung
10.03.2025, 11:41 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Guan, Kaiyu
  • Hien, Ngo The
  • Li, Zhan
  • Rao, Lakshman Nagraj
  • Asian Development Bank (ADB)

Entstanden

  • 2018

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