• Title/Summary/Keyword: MTCI

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Monitoring of Crop Water Stress with Temperature Conditions Using MTCI and CCI (가뭄과 폭염 조건에서 MTCI와 CCI를 이용한 수분 스트레스 평가)

  • Kyeong-Min Kim;Hyun-Dong Moon;Euni Jo;Bo-Kyeong Kim;Subin Choi;Yuhyeon Lee;Yuna Lee;Hoejeong Jeong;Jae-Hyun Ryu;Hoyong Ahn;Seongtae Lee;Jaeil Cho
    • Korean Journal of Remote Sensing
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    • v.39 no.6_1
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    • pp.1225-1234
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    • 2023
  • The intensity of crop water stress caused by moisture deficit is affected by growth and heat conditions. For more accurate detection of crop water stress state using remote sensing techniques, it is necessary to select vegetation indices sensitive to crop response and to understand their changes considering not only soil moisture deficit but also heat conditions. In this study, we measured the MERIS terrestrial chlorophyll index (MTCI) and chlorophyll/carotenoid index (CCI) under drought and heat wave conditions. The MTCI, sensitive to chlorophyll concentration, sensitively decreased on non-irrigation conditions and the degree was larger with heat waves. On the other hand, the CCI, correlated with photosynthesis efficiency, showed less sensitivity to water deficit but had decreased significantly with heat waves. After re-irrigation, the MTCI was increased than before damage and CCI became more sensitive to heat stress. These results are expected to contribute to evaluating the intensity of crop water stress through remote sensing techniques.

Possibility for Early Detection on Crop Water Stress Using Plural Vegetation Indices (작물 가뭄스트레스 조기탐지 가능성 타진을 위한 서로 다른 종류의 식생지수 활용)

  • Moon, Hyun-Dong;Jo, Euni;Cho, Yuna;Kim, Hyunki;Kim, Bo-kyeong;Lee, Yuhyeon;Jeong, Hoejeong;Kwon, Dongwon;Cho, Jaeil
    • Korean Journal of Remote Sensing
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    • v.38 no.6_1
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    • pp.1573-1579
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    • 2022
  • The irrigation schedule system using early detection of crop water stress is required to maintain crop production and save water resource. However, because previous studies focused on the crop under stress dominant condition, the crop physiological properties, which can be measured by remote sensing technique, on early crop water stress condition are not well known. In this study, the canopy temperature, MERIS Terrestrial Chlorophyll Index (MTCI), and Chlorophyll/Carotenoid Index (CCI) are observed on the soybeans given the early water stress using thermal imaging camera and hyperspectral camera. The increased canopy temperature and decreased MTCI are consist with the previous studies which are for the crop of stress dominant-sign. However, the CCI was increased contrary to expectation because it may faster the reduction of carotenoid than chlorophyll in early stage. These behaviors will be useful to not only develop the irrigation system but also using the early detection of crop stress.

Changes in Potential Distribution of Pinus rigida Caused by Climate Changes in Korea (기후변화에 따른 리기다소나무림의 잠재 생육적지 분포 변화 예측)

  • Kim, Yong-Kyung;Lee, Woo-Kyun;Kim, Young-Hwan;Oh, Suhyun;Heo, Jun-Hyeok
    • Journal of Korean Society of Forest Science
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    • v.101 no.3
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    • pp.509-516
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    • 2012
  • In this research, it was intended to examine the vulnerability of Pinus rigida to climate changes, a major planting species in Korea. For this purpose, the distribution of Pinus rigida and its changes caused by climate changes were estimated based on the 'A1B' climate change scenario suggested by IPCC. Current distribution of Pinus rigida was analyzed by using the $4^{th}$Forest Type Map and its potential distribution in the recent year (2000), the near future (2050) and the further future (2100) were estimated by analyzing the optimized ranges of three climate indices - warmth index(WI), minimum temperature index of the coldest month (MTCI) and precipitation effectiveness index(PEI). The results showed that the estimated potential distribution of Pinus rigida declines to 56% in the near future(2050) and 15% in the further future (2100). This significant decline was found in most provinces in Korea. However, in Kangwon province where the average elevation is higher than other provinces, the area of potential distribution of Pinus rigida increases in the near future and the further future. Also the result indicated that the potential distribution of Pinus rigida migrates to higher elevation. The potential distributions estimated in this research have relatively high accuracy with consideration of classification accuracy (44.75%) and prediction probability (62.56%).