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作物学报 ›› 2018, Vol. 44 ›› Issue (7): 1043-1054.doi: 10.3724/SP.J.1006.2018.01043

• 耕作栽培·生理生化 • 上一篇    下一篇

GF-1和MODIS影像冬小麦长势监测指标NDVI的对比

王利民(),杨玲波,刘佳,杨福刚,姚保民   

  1. 中国农业科学院农业资源与农业区划研究所, 北京 100081
  • 收稿日期:2017-07-13 接受日期:2018-03-26 出版日期:2018-07-10 网络出版日期:2018-04-20
  • 通讯作者: 王利民
  • 基金资助:
    本研究由国家重点研发计划项目(2016YFD0300603)资助

Comparison of Growth Monitoring Index NDVI between GF-1 and MODIS Images in Winter Wheat

Li-Min WANG(),Ling-Bo YANG,Jia LIU,Fu-Gang YANG,Bao-Min YAO   

  1. Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
  • Received:2017-07-13 Accepted:2018-03-26 Published:2018-07-10 Published online:2018-04-20
  • Contact: Li-Min WANG
  • Supported by:
    This study was supported by the National Key R&D Program of China (2016YFD0300603).

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摘要：

作物长势是农情遥感监测的重要内容之一。长期以来, 作物长势遥感监测主要基于卫星影像反演的相关植被参数, 如归一化植被指数(NDVI, normalized difference vegetation index)、叶面积指数(LAI, leaf area index)等。本文通过对比研究16 m分辨率GF-1卫星影像及250 m分辨率MODIS影像的NDVI与冬小麦综合茎数、株高、叶绿素浓度之间的关系, 尝试建立遥感监测作物长势指标与地面实测作物长势指标的定量关系。研究发现GF-1 的NDVI与冬小麦综合茎数的相关性最高(R 2=0.8961), 而与其他指标相关性较弱; MODIS的 NDVI指数与冬小麦综合茎数相关性较低(R 2=0.4432), 对作物长势的遥感监测精度较低。统计MODIS冬小麦像元内GF-1像元的NDVI平均值, 并与MODIS的NDVI对比, 发现两者之间的相关性较低(R 2=0.3944); 在消除MODIS与GF-1影像传感器光谱响应函数差异及NDVI尺度效应后, MODIS影像的冬小麦作物长势遥感监测精度得到一定提高(R 2=0.4633)。对MODIS像元内GF-1 NDVI标准差排序发现, MODIS像元内冬小麦长势一致性越高, MODIS的长势遥感监测精度越高。GF-1和MODIS影像NDVI长势监测主要代表地面冬小麦综合茎数, 且卫星影像分辨率越高, NDVI值越能反映实际的作物长势。MODIS像元内冬小麦长势一致性越高, 基于NDVI的MODIS与GF-1数据冬小麦长势监测结果越一致。从区域长势监测角度来看, 尽管MODIS与GF-1数据的监测结果趋势较为一致, 并且通过光谱、尺度归一化能够进一步提高监测结果的一致性, 但MODIS NDVI长势监测总体精度较低, 为满足作物长势精细化监测的业务需要, 应逐步使用高分辨率的遥感数据替代中低分辨率遥感数据进行作物长势遥感监测, 并将其作为长势监测业务化运行的研究重点。

关键词: 归一化植被指数, MODIS影像, GF-1影像, 遥感监测, 冬小麦

Abstract:

Crop growth status is one of the major contents of agriculture remote sensing monitoring. For a long time, crop growth status remote sensing monitoring has been mainly based on related vegetation parameters inverted from satellite images, such as normalized difference vegetation index (NDVI), leaf area index (LAI). In this study, we made an attempt to set up a quantitative relation between remote sensing monitored crop growth indices and ground observation indices of actual crop growth, by comparative study of NDVI based on the GF-1 satellite image with resolution of 16 m and the MODIS image with the resolution of 250 m and comprehensive stalk number (CSN), plant height (PH), and leaf chlorophyll concentration (LCC) of winter wheat. GF-1 NDVI had the highest correlation with CSN (R 2 = 0.8961), while other indices had relatively low correlation. In contrast, MODIS NDVI had relatively lower correlation with CSN of winter wheat (R 2 = 0.4432), and the accuracy in crop growth remote sensing monitoring was relatively low. The average NDVI value of GF-1 pixels within MODIS winter wheat pixels was measured and found to be weakly correlated with MODIS NDVI (R 2 = 0.3944). However, the wheat growth monitoring accuracy by MODIS images was improved (R 2 = 0.4633) after eliminating the sensor spectral response function difference and scale effects. By ranking the standard deviations of GF-1 NDVI within the MODIS pixels, we found that higher winter wheat growth consistency within MODIS pixels resulted in higher monitoring accuracy of MODIS remote sensing. The NDVI from GF-1 or MODIS image mainly represented CSN, and the NDVI value from higher solution image had a better reflection of actual winter wheat growth. When the winter wheat growth consistency within MODIS pixels was high, the difference of NDVI between MODIS and GF-1 data was small. From the perspective of long term regional growth monitoring, although spectrum and scale normalization can further improve the consistency of monitoring result, the overall accuracy of MODIS NDVI growth monitoring is relatively low. In order to meet the demand of precise monitoring on crop growth, it is necessary to use high-resolution remote sensing data to replace middle- or low-resolution data for crop growth remote sensing monitoring, and take it as the research focus of the business operation of crop growth monitoring.

Key words: NDVI, MODIS image, GF-1 image, remote sensing, winter wheat

图1

研究区地理位置"

图2

研究区GF-1卫星影像(A)和MODIS卫星影像(B)"

图3

冬小麦地面调查样本点位置分布图"

图4

本研究技术流程框图"

图5

研究区冬小麦分类结果"

图6

GF-1 NDVI影像及按照MODIS像元大小划分渔网示意图"

图7

GF-1影像(A, C, E)和MODIS影像(B, D, F)的NDVI与冬小麦长势地面监测指标对比A和B: NDVI与冬小麦综合茎数的相关性; C和D: NDVI与冬小麦株高的相关性; E和F: NDVI与冬小麦叶片吐绿素浓度的相关性。"

图8

MODIS与GF-1像元NDVI对冬小麦长势监测精度比较A: 原始GF-1与MODIS数据的NDVI相关性; B: 光谱与尺度归一后GF-1与MODIS的NDVI相关性; C: MODIS监测精度与GF-1 NDVI标准差的关系。"

图9

基于四分位数划分的GF-1(A)和MODIS影像(B)冬小麦长势分级"

[1] 杨邦杰, 裴志远 . 农作物长势的定义与遥感监测. 农业工程学报, 1999,15(3):214-218
Yang B J, Pei Z Y . Definition of crop condition and crop monitoring using remote sensing. Trans CSAE, 1999,15(3):214-218 (in Chinese with English abstract)
[2] 付元元 . 基于遥感数据的作物长势参数反演及作物管理分区研究. 浙江大学博士学位论文,浙江杭州, 2015
Fu Y Y . Remote Sensing Data Based Crop Growth Parameters Retrieval and Crop Management Zone Delineation Research. PhD Dissertation of Zhejiang University, Hangzhou, Zhejiang, China, 2015 ( in Chinese with English abstract)
[3] Son N T, Chen C F, Chen C R, Minh V Q, Trung N H . A comparative analysis of multitemporal MODIS EVI and NDVI data for large-scale rice yield estimation. Agric & For Meteorol, 2014,197:52-64
doi: 10.1016/j.agrformet.2014.06.007
[4] 钱永兰, 侯英雨, 延昊, 毛留喜, 吴门新, 何延波 . 基于遥感的国外作物长势监测与产量趋势估计. 农业工程学报, 2012,28(13):166-171
doi: 10.3969/j.issn.1002-6819.2012.13.027
Qian Y L, Hou Y Y, Yan H, Mao L X, Wu M X, He Y B . Global crop growth condition monitoring and yield trend prediction with remote sensing. Trans CSAE, 2012,28(13):166-171 (in Chinese with English abstract)
doi: 10.3969/j.issn.1002-6819.2012.13.027
[5] 裴志远, 郭琳, 汪庆发 . 国家级作物长势遥感监测业务系统设计与实现. 农业工程学报, 2009,25(8):152-156
Pei Z Y, Guo L, Wang Q F . Design and implementation of operational system for national crop growth condition monitoring with remote sensing. Trans CSAE, 2009,25(8):152-156 (in Chinese with English abstract)
[6] Moran M, Inoue Y, Barnes E . Opportunities and limitations for image-based remote sensing in precision crop management. Remote Sens Environ, 1997,61:319-346
doi: 10.1016/S0034-4257(97)00045-X
[7] Yonezawa C, Negishi M, Azuma K, Saito G . Growth monitoring and classification of rice fields using multitemporal RADARSAT-2 full-polarimetric data. Int J Remote Sens, 2012,33:5696-5711
doi: 10.1080/01431161.2012.665194
[8] 陈怀亮, 李颖, 张红卫 . 农作物长势遥感监测业务化应用与研究进展. 气象与环境科学, 2015,38:95-102
Chen H L, Li Y, Zhang H W . Operational application and research review of crop growth monitoring with remote sensing. Meteorol Environ Sci, 2015,38:95-102 (in Chinese with English abstract)
[9] 蒙继华, 吴炳方, 李强子, 张磊 . 全球农作物长势遥感监测系统的设计和实现. 世界科技研究与发展, 2006,28(3):41-44
doi: 10.3969/j.issn.1006-6055.2006.03.008
Meng J H, Wu B F, Li Q Z, Zhang L . Design and implementation of a global crop growth monitoring system by remote sensing. World Sci-Tech R&D, 2006,28(3):41-44 (in Chinese with English abstract)
doi: 10.3969/j.issn.1006-6055.2006.03.008
[10] 李卫国, 李秉柏, 石春林 . 基于模型和遥感的水稻长势监测研究进展. 中国农学通报, 2006,22(9):457-461
Li W G, Li B B, Shi C L . Research progress in rice condition monitoring based on growth model and remote sensing. Chin Agric Sci Bull, 2006,22(9):457-461 (in Chinese with English abstract)
[11] 齐述华, 王长耀, 牛铮, 刘正军 . 利用NDVI时间序列数据分析植被长势对气候因子的响应. 地理科学进展, 2004,23(3):91-99
doi: 10.11820/dlkxjz.2004.03.012
Qi S H, Wang C Y, Niu Z, Liu Z J . SVI and VCI based on NDVI time-series dataset used to monitor vegetation growth status and its response to climate variables. Prog Geogr, 2004,23(3):91-99 (in Chinese with English abstract)
doi: 10.11820/dlkxjz.2004.03.012
[12] Jones A J S, Tullis J A, Haavik L J, Guldin J M, Stephen F M . Monitoring oak-hickory forest change during an unprecedented red oak borer outbreak in the Ozark Mountains: 1990 to 2006. J Appl Remote Sens, 2014,8:194-209
doi: 10.1117/1.JRS.8.083687
[13] Calera A, González-Piqueras J, Melia J . Monitoring barley and corn growth from remote sensing data at field scale. Int J Remote Sens, 2004,25:97-109
doi: 10.1080/0143116031000115319
[14] Pan W C, Li S K, Wang K R, Xiao H, Chen B, Wang F Y, Su Y, Chen J L, Lai J C, Huang F D . Monitoring of soil nitrogen and plant nitrogen based on hyperspectral of cotton canopy. Cotton Sci, 2010,22:70-76
doi: 10.1080/00949651003724790
[15] Cowen G, Donaldd T, Yin X . Prospects for monitoring cotton crop maturity with normalized difference vegetation index. Agron J, 2010,102:1352-1360
doi: 10.2134/agronj2010.0148
[16] 赵虎, 杨正伟, 李霖, 狄黎平 . 作物长势遥感监测指标的改进与比较分析. 农业工程学报, 2011,27(1):243-249
Zhao H, Yang Z W, Li L, Di L P . Improvement and comparative analysis of indices of crop growth condition monitoring by remote sensing. Trans CSAE, 2011,27(1):243-249 (in Chinese with English abstract)
[17] Moriondo M, Maselli F, Bindi M . A simple model of regional wheat yield based on NDVI data. Eur J Agron, 2007,26:266-274
doi: 10.1016/j.eja.2006.10.007
[18] Zhao Y. Crop growth dynamics modeling using time-series satellite imagery. In: Land Surface Remote Sensing II in America. Bellingham: International Society for Optics and Photonics, 2014: 926003
[19] Maas S J . Use of remote-sensed information in agriculture crop growth models. Ecol Model, 1988,41:247-268
doi: 10.1016/0304-3800(88)90031-2
[20] 刘峰, 李存军, 董莹莹, 王芊, 王纪华, 黄文江 . 基于遥感数据与作物生长模型同化的作物长势监测. 农业工程学报, 2011,27(10):101-106
doi: 10.3969/j.issn.1002-6819.2011.10.018
Liu F, Li C J, Dong Y Y, Wang Q, Wang J H, Huang W J . Monitoring crop growth based on assimilation of remote sensing data and crop simulation model. Trans CSAE, 2011,27(10):101-106 (in Chinese with English abstract)
doi: 10.3969/j.issn.1002-6819.2011.10.018
[21] 李卫国, 李花, 王纪华, 黄文江 . 基于Landsat/TM遥感的冬小麦长势分级监测研究. 麦类作物学报, 2010,30:92-95
doi: 10.7606/j.issn.1009-1041.2010.01.019
Li W G, Li H, Wang J H, Huang W J . A study classification and monitoring of winter wheat growth status by Landsat/TM image. J Triticeae Crops, 2010,30:92-95 (in Chinese with English abstract)
doi: 10.7606/j.issn.1009-1041.2010.01.019
[22] 黄敏堂, 陈燕丽, 王国安, 丁美花, 罗永明, 黄永璘, 孙明, 刘志平 . HJ-1星上思县甘蔗工艺成熟期长势多年对比监测. 安徽农业科学, 2014,42:13129-13131
doi: 10.3969/j.issn.0517-6611.2014.36.126
Huang M T, Chen Y L, Wang G A, Ding M H, Luo Y M, Huang Y L, Sun M, Liu Z P . Sugarcane growth condition monitoring in Shangsi county based on HJ-1 multispectral data. J Anhui Agric Sci, 2014,42:13129-13131 (in Chinese with English abstract)
doi: 10.3969/j.issn.0517-6611.2014.36.126
[23] 刘爱霞, 王长耀, 刘正军, 牛铮 . 基于RS与GIS的干旱区棉花信息提取及长势监测. 地理与地理信息科学, 2003,19(4):101-104
doi: 10.3969/j.issn.1672-0504.2003.04.026
Liu A X, Wang C Y, Liu Z J, Niu Z . Cotton information extraction and growth monitoring in arid area based on RS and GIS. Geog Geo-Inf Sci, 2003,19:101-104
doi: 10.3969/j.issn.1672-0504.2003.04.026
[24] 王蕊, 李红军, 雷玉平 . 基于多年MODIS NDVI分级的河北平原农田生产力评价. 中国生态农业学报, 2011,19:1175-1181
doi: 10.3724/SP.J.1011.2011.01175
Wang R, Li H J, Lei Y P . Evaluation of cropland productivity in the Hebei Plain via graded multi-year MODIS-NDVI data. Chin J Ecol-Agric, 2011,19:1175-1181 (in Chinese with English abstract)
doi: 10.3724/SP.J.1011.2011.01175
[25] 冯美臣, 杨武德, 张东彦, 曹亮亮, 王慧芳, 王芊 . 基于TM和MODIS数据的水旱地冬小麦面积提取和长势监测. 农业工程学报, 2009,25(3):103-109
Feng M C, Yang W D, Zhang D Y, Cao L L, Wang H F, Wang Q . Monitoring planting area and growth situation of irrigation-land and dry-land winter wheat based on TM and MODIS data. Trans CSAE, 2009,25(3):103-109 (in Chinese with English abstract)
[26] 乌兰吐雅, 乌兰, 姜英君, 朝力格尔, 冯晓琴, 姚晓燕, 闫文彬 . 基于MODIS NDVI的春小麦苗期长势监测——以呼伦贝尔市大兴安岭西麓为例. 安徽农业科学, 2015,43(31):356-358
Wulan T Y, Wu L, Jiang Y J, Chaoligeer , Feng X Q, Yao X Y, Yan W B . Growth monitoring for spring wheat during seeding stage based on MODIS NDVI data: a case study of Daxing’anling western slope in Hulun Buir. J Anhui Agric Sci, 2015,43(31):356-358 (in Chinese with English abstract)
[27] 梁瀚月, 房世波, 杨武年, 李璇 . 基于MODIS数据的作物苗情和灾情监测系统及其开发应用. 气象科技进展, 2017, ( 1):7-11
doi: 10.3969/j.issn.2095-1973.2017.01.001
Liang H Y, Fang S B, Yang W N, Li X . Development and application of the seedling situation and disaster monitoring system based on the MODIS data. Adv Meteorol Sci Technol, 2017, ( 1):7-11 (in Chinese with English abstract)
doi: 10.3969/j.issn.2095-1973.2017.01.001
[28] 韩衍欣, 蒙继华, 徐晋 . 基于NDVI与物候修正的大豆长势评价方法. 农业工程学报, 2017,33(2):177-182
doi: 10.11975/j.issn.1002-6819.2017.02.024
Han Y X, Meng J H, Xu J . Soybean growth assessment method based on NDVI and phonological calibration. Trans CSAE, 2017,33(2):177-182 (in Chinese with English abstract)
doi: 10.11975/j.issn.1002-6819.2017.02.024
[29] Hassan M S , Syed M U I. Rapid identification of the sugarcane cultivation area and crop growth condition at Ishwardi Upazila, Bangladesh Using Landsat Imagery, 2015,2(4):162-168
[30] 李卫国, 李正金, 杨澄 . 基于CBERS遥感的冬小麦长势分级监测. 中国农业科技导报, 2010,12(3):79-83
doi: 10.3969/j.issn.1008-0864.2010.03.14
Li W G, Li Z J, Yang C . Grading monitoring of winter wheat growth condition by CBERS satellite image. J Agric Sci Technol, 2010,12(3):79-83 (in Chinese with English abstract)
doi: 10.3969/j.issn.1008-0864.2010.03.14
[31] 秦占飞 . 西北地区水稻长势遥感监测研究. 西北农林科技大学博士学位论文, 陕西杨凌, 2016
Qin Z F . Study on Rice Condition Monitoring with Remote Sensing in Northwest Region. PhD Dissertation of Northwest A&F University, Yangling, Shaanxi, China, 2016 (in Chinese with English abstract)
[32] 查海涅 . 基于卫星遥感的水稻生长监测与氮素营养诊断系统. 安徽科技学院硕士学位论文, 安徽滁州, 2016
Zha H N . Diagnosis of Nitrogen Nutrition Status and Growth Monitoring Manage System of Rice Using Satellite Remote Sensing Image. MS Thesis of Anhui Science & Technology University, Chuzhou, Anhui, China, 2016 ( in Chinese with English abstract)
[33] 谭昌伟, 杨昕, 马昌, 罗明, 严翔, 郭文善 . 基于HJ-1A/1B影像的冬小麦开花期主要生长指标遥感定量监测研究. 麦类作物学报, 2015,35:427-435
Tan C W, Yang X, Ma C, Luo M, Yan X, Guo W S . Quantitative remote sensing monitoring of major growth indices of winter wheat at anthesis stage based on HJ-1A/1B images. J Triticeae Crops, 2015,35:427-435 (in Chinese with English abstract)
[34] 贾金明, 王运行, 王树文, 孙贵姣, 徐巧真, 刘九玲 . 用NOAA/AVHRR资料动态监测小区域冬小麦长势. 气象, 2005,31(10):79-82
doi: 10.7519/j.issn.1000-0526.2005.10.019
Jia J M, Wang Y H, Wang S W, Sun G J, Xu Q Z, Liu J L . Application of NOAA/AVHRR data to winter wheat growth monitoring of the small area in Puyang, Henan province. Meteorol Mon, 2005,31(10):79-82 (in Chinese with English abstract)
doi: 10.7519/j.issn.1000-0526.2005.10.019
[35] 张霞, 张兵, 卫征, 陈正超, 郑兰芬 . MODIS光谱指数监测小麦长势变化研究. 中国图象图形学报, 2005,15:214-218
Zhang X, Zhang B, Wei Z, Chen Z C, Zheng L F . Study on spectral indices of MODIS for wheat growth monitoring. Image & Graphics, 2005,15:214-218 (in Chinese with English abstract)
[36] 张明伟, 周清波, 陈仲新, 周勇, 刘佳, 蔡崇法 . 基于MODIS EVI时间序列的冬小麦长势监测. 中国农业资源与区划, 2007,28(2):29-33
Zhang M W, Zhou Q B, Chen Z X, Zhou Y, Liu J, Cai C F . Supervision and testing on the growth of winter wheat grown based on MODIS EVI time sequence. Chin J Agric Resour Regional Plan, 2007,28(2):29-33 (in Chinese with English abstract)
[37] Li Z, Fox J M . Mapping rubber tree growth in mainland Southeast Asia using time-series MODIS 250 m NDVI and statistical data. Appl Geogr, 2012,32:420-432
doi: 10.1016/j.apgeog.2011.06.018
[38] 黄青, 吴文斌, 邓辉, 张莉 . 2009年江苏省冬小麦和水稻种植面积信息遥感提取及长势监测. 江苏农业科学, 2010, ( 6):508-511
doi: 10.3969/j.issn.1002-1302.2010.06.201
Huang Q, Wu W B, Den H, Zhang L . Monitoring planting area and growth situation of winter wheat and rice in Jiangsu Province in 2009. Jiangsu Agric Sci, 2010, ( 6):508-511 (in Chinese with English abstract)
doi: 10.3969/j.issn.1002-1302.2010.06.201
[39] Zhou Q B, Yu Q Y, Liu J, Wu W B, Tang H J . Perspective of Chinese GF-1 high-resolution satellite data in agricultural remote sensing monitoring. J Integr Agric, 2017,16:242-251
doi: 10.1016/S2095-3119(16)61479-X
[40] 吴素霞, 毛任钊, 李红军, 侯美亭, 杨帆 . 中国农作物长势遥感监测研究综述. 中国农学通报, 2005,21(3):319-322
doi: 10.3969/j.issn.1000-6850.2005.03.091
Wu S X, Mao R Z, Li H J, Hou M T, Yang F . Review of Crop Condition Monitoring Using Remote Sensing in China. Chin Agric Sci Bull, 2005,21(3):319-322 (in Chinese with English abstract)
doi: 10.3969/j.issn.1000-6850.2005.03.091
[41] 蒙继华 . 农作物长势遥感监测指标研究 . 中国科学院研究生院博士学位论文, 中国北京, 2006
Meng J H . Research to Crop Growth Monitoring Indicators with Remote Sensing. PhD Dissertation of Graduate University of Chinese Academy of Sciences, Beijing, China, 2006 ( in Chinese with English abstract)
[42] 赵虎, 杨正伟, 李霖, 狄黎平 . 作物长势遥感监测指标的改进与比较分析. 农业工程学报, 2011,27(1):243-249
Zhao H, Yang Z W, Li L, Di L P . Improvement and comparative analysis of indices of crop growth condition monitoring by remote sensing. Trans CSAE, 2011,27(1):243-249 (in Chinese with English abstract)
[43] 宋月荷, 冯美臣, 尹超, 杨武德 . 不同播期冬小麦地上干物质的光谱监测. 核农学报, 2015,29:1158-1164
Song Y H, Feng M C, Yin C, Yang W D . Spectral monitoring of winter wheat dry above-ground dry biomass in various sowing dates. J Nucl Agric Sci, 2015,29:1158-1164 (in Chinese with English abstract)
[44] 姜城, 金继运, 张维理 . TM遥感与地块内冬小麦产量变异. 遥感技术与应用, 2001,16(1):23-27
doi: 10.3969/j.issn.1004-0323.2001.01.005
Jiang C, Jin J Y, Zhang W L . TM remote sensing and yield variability of wheat within fields. Remote Sens Technol Appl, 2001,16(1):23-27 (in Chinese with English abstract)
doi: 10.3969/j.issn.1004-0323.2001.01.005
[45] 李卫国, 王纪华, 赵春江, 童庆禧, 刘良云 . 基于TM影像的冬小麦苗期长势与植株氮素遥感监测研究. 遥感信息, 2007, ( 2):12-15
doi: 10.3969/j.issn.1000-3177.2007.02.003
Li W G, Wang J H, Zhao C J, Tong Q X, Liu L Y . Study on monitoring the winter wheat growth and nitrogen based on Landsat TM image. Remote Sens Inf, 2007, ( 2):12-15 (in Chinese with English abstract)
doi: 10.3969/j.issn.1000-3177.2007.02.003
[46] 杨嘉, 郭铌, 黄蕾诺, 贾建华 . 西北地区MODIS-NDVI指数饱和问题分析. 高原气象, 2008,27:896-903
Yang J, Guo N, Huang L N, Jia J H . Analysis on MODIS-NDVI index saturation in Northwest China. 2008,27:896-903 (in Chinese with English abstract)
[47] 吕建海, 陈曦, 王小平, 包安明 . 大面积棉花长势的MODIS监测分析方法与实践. 干旱区地理, 2004,27(1):118-123
doi: 10.3321/j.issn:1000-6060.2004.01.023
Lyu J H, Chen X, Wang X P, Bao A M . Analyses and practice on monitoring the growth of large-area cotton with MODIS data. Arid Land Geogr, 2004,27(1):118-123 (in Chinese with English abstract)
doi: 10.3321/j.issn:1000-6060.2004.01.023
[48] 王长耀, 林文鹏 . 基于MODIS EVI的冬小麦产量遥感预测研究. 农业工程学报, 2005,21(10):90-94
Wang C Y, Lin W P . Winter wheat yiel estimation based on MODIS EVI. Trans CSAE, 2005,21(10):90-94 (in Chinese with English abstract)
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