Applications of MODIS-visible bands index, greenery ratio to estimate CO2 budget of a rice paddy in Japan

Yoshinobu Harazono, Kazuhiro Chikamoto, Shunsaku Kikkawa, Toru Iwata, Nana Nishida, Masahito Ueyama, Yoshiaki Kitaya, Masayoshi Mano, Akira MIYATa

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

NDVI (Normalized Difference of Vegetation Index) was employed to estimate the carbon budget remotely with satellite data. However, NDVI has some difficulties in application to agricultural crops, boreal forest, and tundra ecosystems. We proposed a new vegetation index GR (greenery ratio) to detect the vegetation change remotely, and we applied it to estimate CO2budget of Japanese rice paddy with MODIS satellite data. GR was ratio of green (G) to the trichromatic visible bands (R+G+B) of MODIS, and an empirical GR-CO2budget model was developed as functions of MODIS-data and observed micrometeorology and fluxes at the rice paddy of Mase-site. The daily PAR (photosynthetically active radiation) was also estimated by MODIS. The parameterized model provided good performance to estimate daily magnitudes and seasonal trends of GPP (gross primary productivity), however, RE (ecosystem respiration) showed a little under-estimation, especially differed in late growing season. In contradiction to the observed CO2budget, the estimated budgets were 2% greater of GPP and 5% less of RE and 9% greater of NEE (net ecosystem exchange). The large discrepancy in NEE was owing to the poor estimation of RE after drainage. Further study to improve RE estimation was needed.

Original languageEnglish
Pages (from-to)365-374
Number of pages10
JournalJournal of Agricultural Meteorology
Volume65
Issue number4
DOIs
Publication statusPublished - 2009

Fingerprint

ecosystem respiration
moderate resolution imaging spectroradiometer
paddies
MODIS
rice
Japan
net ecosystem exchange
respiration
vegetation index
ecosystem
remote sensing
primary productivity
satellite data
micrometeorology
tundra
photosynthetically active radiation
productivity
boreal forests
carbon budget
drainage

Keywords

  • CObudget
  • Greenery ratio
  • MODIS
  • Remote sensing
  • Rice paddy

ASJC Scopus subject areas

  • Agronomy and Crop Science
  • Atmospheric Science

Cite this

Applications of MODIS-visible bands index, greenery ratio to estimate CO2 budget of a rice paddy in Japan. / Harazono, Yoshinobu; Chikamoto, Kazuhiro; Kikkawa, Shunsaku; Iwata, Toru; Nishida, Nana; Ueyama, Masahito; Kitaya, Yoshiaki; Mano, Masayoshi; MIYATa, Akira.

In: Journal of Agricultural Meteorology, Vol. 65, No. 4, 2009, p. 365-374.

Research output: Contribution to journalArticle

Harazono, Y, Chikamoto, K, Kikkawa, S, Iwata, T, Nishida, N, Ueyama, M, Kitaya, Y, Mano, M & MIYATa, A 2009, 'Applications of MODIS-visible bands index, greenery ratio to estimate CO2 budget of a rice paddy in Japan', Journal of Agricultural Meteorology, vol. 65, no. 4, pp. 365-374. https://doi.org/10.2480/agrmet.65.4.6
Harazono, Yoshinobu ; Chikamoto, Kazuhiro ; Kikkawa, Shunsaku ; Iwata, Toru ; Nishida, Nana ; Ueyama, Masahito ; Kitaya, Yoshiaki ; Mano, Masayoshi ; MIYATa, Akira. / Applications of MODIS-visible bands index, greenery ratio to estimate CO2 budget of a rice paddy in Japan. In: Journal of Agricultural Meteorology. 2009 ; Vol. 65, No. 4. pp. 365-374.
@article{2466cf8dd1534a1586624a7924308d90,
title = "Applications of MODIS-visible bands index, greenery ratio to estimate CO2 budget of a rice paddy in Japan",
abstract = "NDVI (Normalized Difference of Vegetation Index) was employed to estimate the carbon budget remotely with satellite data. However, NDVI has some difficulties in application to agricultural crops, boreal forest, and tundra ecosystems. We proposed a new vegetation index GR (greenery ratio) to detect the vegetation change remotely, and we applied it to estimate CO2budget of Japanese rice paddy with MODIS satellite data. GR was ratio of green (G) to the trichromatic visible bands (R+G+B) of MODIS, and an empirical GR-CO2budget model was developed as functions of MODIS-data and observed micrometeorology and fluxes at the rice paddy of Mase-site. The daily PAR (photosynthetically active radiation) was also estimated by MODIS. The parameterized model provided good performance to estimate daily magnitudes and seasonal trends of GPP (gross primary productivity), however, RE (ecosystem respiration) showed a little under-estimation, especially differed in late growing season. In contradiction to the observed CO2budget, the estimated budgets were 2{\%} greater of GPP and 5{\%} less of RE and 9{\%} greater of NEE (net ecosystem exchange). The large discrepancy in NEE was owing to the poor estimation of RE after drainage. Further study to improve RE estimation was needed.",
keywords = "CObudget, Greenery ratio, MODIS, Remote sensing, Rice paddy",
author = "Yoshinobu Harazono and Kazuhiro Chikamoto and Shunsaku Kikkawa and Toru Iwata and Nana Nishida and Masahito Ueyama and Yoshiaki Kitaya and Masayoshi Mano and Akira MIYATa",
year = "2009",
doi = "10.2480/agrmet.65.4.6",
language = "English",
volume = "65",
pages = "365--374",
journal = "J. AGRICULTURAL METEOROLOGY",
issn = "0021-8588",
publisher = "Society of Agricultural Meteorology of Japan/Nihon Nogyo Kisho Gakkai",
number = "4",

}

TY - JOUR

T1 - Applications of MODIS-visible bands index, greenery ratio to estimate CO2 budget of a rice paddy in Japan

AU - Harazono, Yoshinobu

AU - Chikamoto, Kazuhiro

AU - Kikkawa, Shunsaku

AU - Iwata, Toru

AU - Nishida, Nana

AU - Ueyama, Masahito

AU - Kitaya, Yoshiaki

AU - Mano, Masayoshi

AU - MIYATa, Akira

PY - 2009

Y1 - 2009

N2 - NDVI (Normalized Difference of Vegetation Index) was employed to estimate the carbon budget remotely with satellite data. However, NDVI has some difficulties in application to agricultural crops, boreal forest, and tundra ecosystems. We proposed a new vegetation index GR (greenery ratio) to detect the vegetation change remotely, and we applied it to estimate CO2budget of Japanese rice paddy with MODIS satellite data. GR was ratio of green (G) to the trichromatic visible bands (R+G+B) of MODIS, and an empirical GR-CO2budget model was developed as functions of MODIS-data and observed micrometeorology and fluxes at the rice paddy of Mase-site. The daily PAR (photosynthetically active radiation) was also estimated by MODIS. The parameterized model provided good performance to estimate daily magnitudes and seasonal trends of GPP (gross primary productivity), however, RE (ecosystem respiration) showed a little under-estimation, especially differed in late growing season. In contradiction to the observed CO2budget, the estimated budgets were 2% greater of GPP and 5% less of RE and 9% greater of NEE (net ecosystem exchange). The large discrepancy in NEE was owing to the poor estimation of RE after drainage. Further study to improve RE estimation was needed.

AB - NDVI (Normalized Difference of Vegetation Index) was employed to estimate the carbon budget remotely with satellite data. However, NDVI has some difficulties in application to agricultural crops, boreal forest, and tundra ecosystems. We proposed a new vegetation index GR (greenery ratio) to detect the vegetation change remotely, and we applied it to estimate CO2budget of Japanese rice paddy with MODIS satellite data. GR was ratio of green (G) to the trichromatic visible bands (R+G+B) of MODIS, and an empirical GR-CO2budget model was developed as functions of MODIS-data and observed micrometeorology and fluxes at the rice paddy of Mase-site. The daily PAR (photosynthetically active radiation) was also estimated by MODIS. The parameterized model provided good performance to estimate daily magnitudes and seasonal trends of GPP (gross primary productivity), however, RE (ecosystem respiration) showed a little under-estimation, especially differed in late growing season. In contradiction to the observed CO2budget, the estimated budgets were 2% greater of GPP and 5% less of RE and 9% greater of NEE (net ecosystem exchange). The large discrepancy in NEE was owing to the poor estimation of RE after drainage. Further study to improve RE estimation was needed.

KW - CObudget

KW - Greenery ratio

KW - MODIS

KW - Remote sensing

KW - Rice paddy

UR - http://www.scopus.com/inward/record.url?scp=81355156476&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=81355156476&partnerID=8YFLogxK

U2 - 10.2480/agrmet.65.4.6

DO - 10.2480/agrmet.65.4.6

M3 - Article

AN - SCOPUS:81355156476

VL - 65

SP - 365

EP - 374

JO - J. AGRICULTURAL METEOROLOGY

JF - J. AGRICULTURAL METEOROLOGY

SN - 0021-8588

IS - 4

ER -