INTEGRATING TIME-SERIES SAR DATA AND ORYZA CROP GROWTH MODEL IN RICE AREA MAPPING AND YIELD ESTIMATION FOR CROP INSURANCES

Autor: S. Pazhanivelan, K. P. Ragunath, N. S. Sudarmanian, R. Kumaraperumal, T. Setiyono, E. D. Quicho

Publikováno v: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3-W6, Pp 239-243 (2019)

Lowland rice in tropical and subtropical regions can be detected precisely and its crop growth can be tracked effectively through Synthetic Aperture Radar (SAR) imagery, especially where cloud cover restricts the use of optical imagery. Parameterised

Externí odkaz: https://doaj.org/article/e0380794b15748258f43b65a27c1e214

Rice yield estimation using synthetic aperture radar (SAR) and the ORYZA crop growth model: development and application of the system in South and South-east Asian countries

Autor: Q. T. Vo, M. R. O. Mabalay, Touch Veasna, Vo Quang Minh, A. Intrman, E. D. Quicho, Cornelia Garcia, J.V. Raviz, S. Pazhanivelan, A. Maunahan, Francesco Collivignarelli, Arnel Rala, D. M. Phuong, N. I. Khan, M. Sothy, L. Gatti, Massimo Barbieri, Francesco Holecz, T. D. Setiyono, Preesan Rakwatin, G. Romuga

Publikováno v: International Journal of Remote Sensing. 40:8093-8124

A rice yield estimation system was developed based on the crop growth model ORYZA and SAR-derived key information such as start of season (SOS) and leaf area growth rate. Results from study sites in South and South-east Asian countries suggest that i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::45d7fdac88a83b176316c491038a7b1f
https://doi.org/10.1080/01431161.2018.1547457

Spatial Rice Yield Estimation Based on MODIS and Sentinel-1 SAR Data and ORYZA Crop Growth Model

Autor: Nasreen Islam Khan, E. D. Quicho, L. Gatti, Lorenzo Busetto, T. D. Setiyono, Francesco Collivignarelli, Manuel Campos-Taberner, Francesco Holecz, Mirco Boschetti, Francisco Javier García-Haro

Publikováno v: Remote sensing (Basel) 10 (2018). doi:10.3390/rs10020293
info:cnr-pdr/source/autori:Tri D. Setiyono 1,*, Emma D. Quicho 1, Luca Gatti 2, Manuel Campos-Taberner 3, Lorenzo Busetto 4, Francesco Collivignarelli 2, Francisco Javier García-Haro 3, Mirco Boschetti 4, Nasreen Islam Khan 1 and Francesco Holecz 2/titolo:Spatial Rice Yield Estimation Based on MODIS and Sentinel-1 SAR Data and ORYZA Crop Growth Model/doi:10.3390%2Frs10020293/rivista:Remote sensing (Basel)/anno:2018/pagina_da:/pagina_a:/intervallo_pagine:/volume:10
Remote Sensing, Vol 10, Iss 2, p 293 (2018)
Remote Sensing; Volume 10; Issue 2; Pages: 293

Crop insurance is a viable solution to reduce the vulnerability of smallholder farmers to risks from pest and disease outbreaks, extreme weather events, and market shocks that threaten their household food and income security. In developing and emerg

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1abd860770fcc85e752daf7eeac3407

Synthetic Aperture Radar (SAR)-based paddy rice monitoring system: Development and application in key rice producing areas in Tropical Asia

Autor: A. Maunahan, L. Gatti, Francesco Holecz, E. D. Quicho, Massimo Barbieri, N. I. Khan, Francesco Collivignarelli, T. D. Setiyono, G. Romuga

Publikováno v: IOP Conference Series: Earth and Environmental Science. 54:012015

Reliable and regular rice information is essential part of many countries' national accounting process but the existing system may not be sufficient to meet the information demand in the context of food security and policy. Synthetic Aperture Radar (

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::887a1b7dd50e4f38065c6c8068ad9fd5
https://doi.org/10.1088/1755-1315/54/1/012015