Mapping paddy rice yield in Zhejiang Province using MODIS spectral index

被引:14
|
作者
Cheng, Qian [1 ]
Wu, Xiuju [1 ]
机构
[1] Zhejiang Gongshang Univ, Dept Environm Resources Management & City Plannin, Hangzhou 310035, Zhejiang, Peoples R China
基金
浙江省自然科学基金;
关键词
Estimation; rice yield; MODIS; spectral index; LEAF-AREA INDEX; REFLECTANCE; NDVI; DERIVATION; LANDSAT; GROWTH; COTTON; WHEAT; FIELD; MODEL;
D O I
10.3906/tar-1003-826
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
The first 19 bands of a moderate-resolution imaging spectrometer (MODIS), covering the visible to shortwave infrared spectral wavelength, were simulated by ground-level reflectance spectra. All spectral indices similar to the normalized difference vegetation index (NDVI) and ratio vegetation index (RVI) formed by every 2 bands were calculated to obtain their determination coefficients, with theoretical and real yield. Results revealed that the combinative near-infrared (NIR) index (band 2 and band 19, symbol b2 and b19, and other similar ones) and the (b16, b19) of MODIS were strongly correlated with rice yield, especially the correlative coefficient that exceeded significant levels in the maturing stage. However, combinative visible light index was correlated with rice yield strongly in the early stage and poorly in the latter stage. The best spectral indices for predicting rice yield in whole rice growth were the combinations of (1)2, b19) and (b16, b19). Based on the 2-band combination of the (b2, b19) of MODIS and the constructed estimating model, the rice yield of Zhejiang Province was estimated and its spatial distribution was mapped. Estimated results based on MODIS images were validated using 8 measured validation sites. Errors in the estimated rice yield ranged from 3.2% to 20.3%, with a mean value of 10.1%. The results indicated that the 2-band combination of the (62,1319) MODIS index was most suitable for monitoring rice yield.
引用
收藏
页码:579 / 589
页数:11
相关论文
共 50 条
  • [41] Mapping paddy rice with multi-date moderate-resolution imaging spectroradiometer (MODIS) data in China
    Sun, Hua-sheng
    Huang, Jing-feng
    Huete, Alfredo R.
    Peng, Dai-liang
    Zhang, Feng
    JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A, 2009, 10 (10): : 1509 - 1522
  • [42] Estimation of Paddy Rice Leaf Area Index Using Digital Photography
    Ge, Yunjian
    Liu, Zhenbo
    Chen, Jian
    Sun, Tao
    2014 7TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP 2014), 2014, : 681 - 686
  • [43] Identifying and characterizing yield limiting factors in paddy rice using remote sensing yield maps
    Wang, Yi-Ping
    Chen, Shou-Hung
    Chang, Kuo-Wei
    Shen, Yuan
    PRECISION AGRICULTURE, 2012, 13 (05) : 553 - 567
  • [44] Identifying and characterizing yield limiting factors in paddy rice using remote sensing yield maps
    Yi-Ping Wang
    Shou-Hung Chen
    Kuo-Wei Chang
    Yuan Shen
    Precision Agriculture, 2012, 13 : 553 - 567
  • [45] PADDY FIELD MAPPING USING UAV MULTI-SPECTRAL IMAGERY
    Rokhmatuloh
    Supriatna
    Pin, Tjiong Giok
    Hernina, Revi
    Ardhianto, Ronni
    Shidiq, Iqbal Putut Ash
    Wibowo, Adi
    INTERNATIONAL JOURNAL OF GEOMATE, 2019, 17 (61): : 242 - 247
  • [46] Assessment of rice yield loss due to torrential rain: a case study of Yuhang County, Zhejiang Province, China
    Weiping Lou
    Lihong Wu
    Haiyan Chen
    Zongwei Ji
    Yongfei Sun
    Natural Hazards, 2012, 60 : 311 - 320
  • [47] Assessment of rice yield loss due to torrential rain: a case study of Yuhang County, Zhejiang Province, China
    Lou, Weiping
    Wu, Lihong
    Chen, Haiyan
    Ji, Zongwei
    Sun, Yongfei
    NATURAL HAZARDS, 2012, 60 (02) : 311 - 320
  • [48] Remote Sensing Index for Mapping Canola Flowers Using MODIS Data
    Zang, Yunze
    Chen, Xuehong
    Chen, Jin
    Tian, Yugang
    Shi, Yusheng
    Cao, Xin
    Cui, Xihong
    REMOTE SENSING, 2020, 12 (23) : 1 - 19
  • [49] Winter Wheat Yield Estimation Model with MODIS Normalized Near-infrared Spectral Index
    Lin Wenpeng
    Zhao Min
    Liu Yunlong
    Gao Jun
    Wang Chenli
    2008 INTERNATIONAL WORKSHOP ON EARTH OBSERVATION AND REMOTE SENSING APPLICATIONS, 2008, : 153 - +
  • [50] BORO RICE YIELD ESTIMATION MODEL USING MODIS NDVI DATA FOR BANGLADESH
    Alam, Md. Samiul
    Kalpoma, Kazi
    Karim, Md. Sanaul
    Al Sefat, Abdullah
    Kudoh, Jun-ichi
    2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), 2019, : 7330 - 7333