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Remote Sens. 2015, 7(9), 11326-11343; doi:10.3390/rs70911326

Comparison of NDVIs from GOCI and MODIS Data towards Improved Assessment of Crop Temporal Dynamics in the Case of Paddy Rice

Earth Observation Research Team, Korea Aerospace Research Institute, 169-84 Gwahak-ro, Yuseong-Gu, Deajeon 305-806, Korea
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Author to whom correspondence should be addressed.
Academic Editors: Tao Cheng, Clement Atzberger and Prasad S. Thenkabail
Received: 30 June 2015 / Revised: 24 August 2015 / Accepted: 27 August 2015 / Published: 7 September 2015
(This article belongs to the Special Issue Recent Advances in Remote Sensing for Crop Growth Monitoring)
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Abstract

The monitoring of crop development can benefit from the increased frequency of observation provided by modern geostationary satellites. This paper describes a four-year testing period from 2010 to 2014, during which satellite images from the world's first Geostationary Ocean Color Imager (GOCI) were used for spectral analyses of paddy rice in South Korea. A vegetation index was calculated from GOCI data based on the bidirectional reflectance distribution function (BRDF)-adjusted reflectance, which was then used to visually analyze the seasonal crop dynamics. These vegetation indices were then compared with those calculated using the Moderate-resolution Imaging Spectroradiometer (MODIS)-normalized difference vegetation index (NDVI) based on Nadir BRDF-adjusted reflectance. The results show clear advantages of GOCI, which provided four times better temporal resolution than the combined MODIS sensors, interpreting subtle characteristics of the vegetation development. Particularly in the rainy season, when data acquisition under clear weather conditions was very limited, it was possible to find cloudless pixels within the study sites by compiling GOCI images obtained from eight acquisition periods per day, from which the vegetation index could be calculated. In this study, ground spectral measurements from CROPSCAN were also compared with satellite-based vegetation products, despite their different index magnitude, according to systematic discrepancy, showing a similar crop development pattern to the GOCI products. Consequently, we conclude that the very high temporal resolution of GOCI is very beneficial for monitoring crop development, and has potential for providing improved information on phenology. View Full-Text
Keywords: Crop temporal dynamics; Geostationary Ocean Color Imager (GOCI); MODIS; Nadir BRDF-adjusted reflectance (NBAR); normalized difference vegetation index (NDVI); semi-empirical BRDF model Crop temporal dynamics; Geostationary Ocean Color Imager (GOCI); MODIS; Nadir BRDF-adjusted reflectance (NBAR); normalized difference vegetation index (NDVI); semi-empirical BRDF model
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Yeom, J.-M.; Kim, H.-O. Comparison of NDVIs from GOCI and MODIS Data towards Improved Assessment of Crop Temporal Dynamics in the Case of Paddy Rice. Remote Sens. 2015, 7, 11326-11343.

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