Important factors affecting crop acreage estimation based on remote sensing image classification technique

doi:10.6046/gtzyyg.2015.04.09

Abstract
References
Related Articles
Metrics

Download: PDF(6196 KB) HTML
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks

Abstract

It is necessary and valuable to study the effect of influencing factors of crop classification on crop acreage estimation from both qualitative and quantitative points of view. Therefore, the authors analyzed the resolution effect on the acreage estimation accuracy by using RapidEye imagery. Spatial statistics methods and manifold accuracy evaluation indices were used respectively to analyze the data with different index statistics of crop proportion, crop fragmentation and shape. The results show that decreased crop proportion and increased crop fragmentation and shape index will lead to reducing regional accuracy under all resolutions. And in order to keep the accuracy higher than 85%, we can select any resolution higher than 150 m data when the crop proportion is higher than 50%, so as to achieve the accuracy requirements. As merely improving resolution cannot guarantee the crop acreage estimation accuracy when the crop land exhibits long and narrow distribution, other technology must be adopted in this case. Finally the quantitative influence model of the four factors for crop acreage estimation accuracy is built. The results of this paper would provide academic reference for resolving the problem of data selection and accuracy improvement in crop acreage estimation by remote sensing.

Keywords Openness parameter topography Minjiang Estuary

:	TP751.1
	P237

Issue Date: 23 July 2015

	Service

	E-mail this article
	E-mail Alert
	RSS
	Articles by authors

	ZHANG Jie
	LIANG Mingjian
	SHAO Yanxiu

Cite this article:

ZHANG Jie,LIANG Mingjian,SHAO Yanxiu. Important factors affecting crop acreage estimation based on remote sensing image classification technique[J]. REMOTE SENSING FOR LAND & RESOURCES, 2015, 27(4): 54-61.

URL:

https://www.gtzyyg.com/EN/10.6046/gtzyyg.2015.04.09 OR https://www.gtzyyg.com/EN/Y2015/V27/I4/54

[1] 吴炳方.中国农情遥感速报系统[J].遥感学报, 2004, 8(6):481-497. Wu B F.China crop watch system with remote sensing[J].Journal of Remote Sensing, 2004, 8(6):481-497.

[2] Chen J.Rapid urbanization in China:A real challenge to soil protection and food security[J].Catena, 2007, 69(1):1-15.

[3] 蒋雪中, 赵锐, 李强子, 等.利用GVG线采样技术提取农作物种植面积及其精度分析[J].南京气象学院学报, 2002, 25(1):78-83. Jiang X Z, Zhao R, Li Q Z, et al.Extraction of crop acreage using GVG system and its precision analysis[J].Journal of Nanjing Institute of Meteorology, 2002, 25(1):78-83.

[4] 梁友嘉, 徐中民.基于SPOT-5卫星影像的灌区作物识别[J].草业科学, 2013, 30(2):161-167. Liang Y J, Xu Z M.Crop identification in the irrigation district based on SPOT-5 satellite imagery[J].Pratacultural Science, 2013, 30(2):161-167.

[5] 刘磊, 江东, 徐敏, 等.基于多光谱影像和专家决策法的作物分类研究[J].安徽农业科学, 2011, 39(25):15809-15811. Liu L, Jiang D, Xu M, et al.Crops classification based on multi-spectral image and decision tree method[J].Journal of Anhui Agricultural Sciences, 2011, 39(25):15809-15811.

[6] 欧文浩, 苏伟, 薛文振, 等.基于HJ-1卫星影像的三大农作物估产最佳时相选择[J].农业工程学报, 2010, 26(11):176-182. Ou W H, Su W, Xue W Z, et al.Selection of optimum phase for yield estimation of three major crops based on HJ-1 satellite images[J].Transactions of the Chinese Society of Agricultural Engineering, 2010, 26(11):176-182.

[7] Wardlow B D, Egbert S L.Large-area crop mapping using time-series MODIS 250 m NDVI data:An assessment for the U.S.Central Great Plains[J].Remote Sensing of Environment, 2008, 112(33):1096-1116.

[8] Jia K, Wu B F, Li Q Z.Crop classification using HJ satellite multispectral data in the North China Plain[J].Journal of Applied Remote Sensing, 2013, 7(1):073576.

[9] Yonezawa C, Negishi M, Azuma K, et al.Growth monitoring and classification of rice fields using multitemporal RADARSAT-2 full-polarimetric data[J].International Journal of Remote Sensing, 2012, 33(18):5696-5711.

[10] Jia K, Li Q Z, Tian Y C, et al.Crop classification using multi-configuration SAR data in the North China Plain[J].International Journal of Remote Sensing, 2012, 33(1):170-183.

[11] 马红章, 刘素美, 朱晓波, 等.基于被动微波遥感技术的玉米冠层叶面积指数反演[J].国土资源遥感, 2013, 25(3):66-71.doi:10.6046/gtzyyg.2013.03.12. Ma H Z, Liu S M, Zhu X B, et al.Crop LAI inversion based on the passive microwave remote sensing technology[J].Remote Sensing for Land and Resources, 2013, 25(3):66-71.doi:10.6046/gtzyyg.2013.03.12.

[12] Balaguer A, Ruiz L A, Hermosill T, et al.Definition of a comprehensive set of texture semivariogram features and their evaluation for object-oriented image classification[J].Computers and Geosciences, 2010, 36(2):231-240.

[13] Berberoglu S, Curran P J, Lloyd C D, et al.Texture classification of Mediterranean land cover[J].International Journal of Applied Earth Observation and Geoinformation, 2007, 9(3):322-334.

[14] Li Q Z, Wu B F, Jia K, et al.Maize acreage estimation using ENVISAT MERIS and CBERS-02B CCD data in the North China Plain[J].Computers and Electronics in Agriculture, 2011, 78(2):208-214.

[15] 胥兵, 方臣.ZY-102 C星图像与ETM⁺图像融合方法及效果评价[J].国土资源遥感, 2014, 26(3):80-85.doi:10.6046/gtzyyg.2014.03.13. Xu B, Fang C.Data fusion methods of ZY-102 C and ETM⁺ images and effect evaluation[J].Remote Sensing for Land and Resources, 2014, 26(3):80-85.doi:10.6046/gtzyyg.2014.03.13.

[16] 程乾, 王人潮.数字高程模型和多时相MODIS数据复合的水稻种植面积遥感估算方法研究[J].农业工程学报, 2005, 21(5):89-92. Cheng Q, Wang R C.Estimation of the rice planting area using digital elevation model and multitemporal moderate resolution imaging spectroradiometer[J].Transactions of the Chinese Society of Agricultural Engineering, 2005, 21(5):89-92.

[17] 杨小唤, 张香平, 江东.基于MODIS时序NDVI特征值提取多作物播种面积的方法[J].资源科学, 2004, 26(6):17-22. Yang X H, Zhang X P, Jiang D.Extraction of multi-crop planting areas from MODIS data[J]. Resources Science, 2004, 26(6):17- 22.

[18] 于菲菲, 曾永年, 徐艳艳, 等.基于植被分区的多特征遥感智能分类[J].国土资源遥感, 2014, 26(1):63-70.doi:10.6046/gtzyyg.2014.01.12. Yu F F, Zeng Y N, Xu Y Y, et al.Intelligent remote sensing classification of multi-character data based on vegetation partition[J].Remote Sensing for Land and Resources, 2014, 26(1):63-70.doi:10.6046/gtzyyg.2014.01.12.

[19] 权文婷, 王钊.冬小麦种植面积遥感提取方法研究[J].国土资源遥感, 2013, 25(4):8-15.doi:10.6046/gtzyyg.2013.04.02. Quan W T, Wang Z.Researches on the extraction of winter wheat planting area using remote sensing method[J].Remote Sensing for Land and Resources, 2013, 25(4):8-15.doi:10.6046/gtzyyg.2013.04.02.

[20] 贾坤, 李强子, 田亦陈, 等.微波后向散射数据改进农作物光谱分类精度研究[J].光谱学与光谱分析, 2011, 31(2):483-487. Jia K, Li Q Z, Tian Y C, et al.Accuracy improvement of spectral classification of crop using microwave backscatter data[J].Spectroscopy and Spectral Analysis, 2011, 31(2):483-487.

[21] 张焕雪, 李强子.空间分辨率对作物识别及种植面积估算的影响研究[J].遥感信息, 2014, 29(2):38-42. Zhang H X, Li Q Z.Effects of spatial resolution on crop identification and acreage estimation[J].Remote Sensing Information, 2014, 29(2):38-42.

[22] Vermote E F, Tanré D, Deuzé J L, et al.Second simulation of the satellite signal in the solar spectrum, 6S:An overview[J].IEEE Transactions on Geoscience and Remote Sensing, 1997, 35(3):675-686.

[23] Kavzoglu T.Simulating landsat ETM⁺ imagery using DAIS 7915 hyperspectral scanner data[J].International Journal of Remote Sensing, 2004, 25(22):5049-5067.

[24] Woodcock C, Harward V J.Nested-hierarchical scene models and image segmentation[J].International Journal of Remote Sensing, 1992, 13(16):3167-3187.

[25] Hay G J, Niemann K O, Goodenough D G.Spatial thresholds, image-objects, and upscaling:A multiscale evaluation[J].Remote Sensing of Environment, 1997, 62(1):1-19.

[26] 李强子, 吴炳方, 许文波.农作物分类成数的精度检验[J].遥感学报, 2004, 8(6):588-597. Li Q Z, Wu B F, Xu W B.Accuracy assessment of crop type proportion using GVG instrument on transect line[J].Journal of Remote Sensing, 2004, 8(6):588-597.

[27] 胡潭高, 张锦水, 潘耀忠, 等.景观破碎度在冬小麦面积抽样设计中的应用研究[J].遥感学报, 2010, 14(6):1117-1138. Hu T G, Zhang J S, Pan Y Z, et al.Application of landscape fragmentation in winter wheat area sampling design[J].Journal of Remote Sensing, 2010, 14(6):1117-1138.

[28] 尹锴, 赵千钧, 文美平, 等.海岛型城市森林景观格局效应及其生态系统服务评估[J].国土资源遥感, 2014, 26(2):128-133.doi:10.6046/gtzyyg.2014.02.21. Yin K, Zhao Q J, Wen M P, et al.Assessment of landscape pattern effect and ecosystem services of island urban forest[J].Remote Sensing for Land and Resources, 2014, 26(2):128-133.doi:10.6046/gtzyyg.2014.02.21.

[29] 吴炳方, 李强子.基于两个独立抽样框架的农作物种植面积遥感估算方法[J].遥感学报, 2004, 8(6):551-569. Wu B F, Li Q Z.Crop acreage estimation using two individual sampling frameworks with stratification[J].Journal of Remote Sensing, 2004, 8(6):551-569.

[1]	WU Fang, JIN Dingjian, ZHANG Zonggui, JI Xinyang, LI Tianqi, GAO Yu. A preliminary study on land-sea integrated topographic surveying based on CZMIL bathymetric technique[J]. Remote Sensing for Natural Resources, 2021, 33(4): 173-180.
[2]	LI Yang, YUAN Lin, ZHAO Zhiyuan, ZHANG Jinlei, WANG Xianye, ZHANG Liquan. Inversion of tidal flat topography based on unmanned aerial vehicle low-altitude remote sensing and field surveys[J]. Remote Sensing for Natural Resources, 2021, 33(3): 80-88.
[3]	Yaping LI, Xiaoping LU, Hang ZHANG, Zezhong LU, Shunyao WANG. Soil erosion in Huaihe River Basin based on GIS and RUSLE:Exemplified by Shangcheng County, Xinyang City[J]. Remote Sensing for Land & Resources, 2019, 31(4): 243-249.
[4]	Ting WANG, Jun PAN, Lijun JIANG, Lixin XING, Yifan YU, Pengju WANG. Topographic variable analysis and lithologic classification based on DEM[J]. Remote Sensing for Land & Resources, 2018, 30(2): 231-237.
[5]	ZHANG Jie, LIANG Mingjian, SHAO Yanxiu. Openness: A visualization parameter for two-dimensional relief[J]. REMOTE SENSING FOR LAND & RESOURCES, 2015, 27(3): 172-176.
[6]	WAN Jie, LIAO Jingjuan, XU Tao, SHEN Guozhuang. Accuracy evaluation of SRTM data based on ICESat/GLAS altimeter data: A case study in the Tibetan Plateau[J]. REMOTE SENSING FOR LAND & RESOURCES, 2015, 27(1): 100-105.
[7]	GUO Qiaozhen, NING Xiaoping, WANG Zhiheng, JIANG Weiguo. Impact analysis of landform for land use dynamic change of the partly mountainous area: A case study of Jixian County in Tianjin City[J]. REMOTE SENSING FOR LAND & RESOURCES, 2015, 27(1): 153-159.
[8]	LIU Yadi, WANG Xiaoqin, JIANG Hong. Estimation of vegetation coverage based on topography-adjusted vegetation index (TAVI) in Changting County, Fujian Province[J]. REMOTE SENSING FOR LAND & RESOURCES, 2015, 27(1): 164-171.
[9]	GAN Fu-Ping, YU Yan-Mei, YAN BO-Kun. A PRIMARY STUDY OF THE RELATIONSHIP BETWEEN LUNAR SURFACE TOPOGRAPHY AND PHYSIOGNOMY AND GEOLOGICAL INFORMATION COUPLING[J]. REMOTE SENSING FOR LAND & RESOURCES, 2009, 21(4): 14-18.
[10]	LIN Gui-lan, FANG Jian-yong, CHEN Feng . A REMOTE SENSING ANALYSIS OF SHALLOW SEA TOPOGRAPHIC EVOLUTIONARY TREND OF TONG'AN BAY, IN XIAMEN[J]. REMOTE SENSING FOR LAND & RESOURCES, 2004, 16(4): 63-67.
[11]	FU Bin, HUANG Wei-gen. SAR SIMULATION STUDY OF STEEP SLOPE BOTTOM TOPOGRAPHY[J]. REMOTE SENSING FOR LAND & RESOURCES, 2003, 15(1): 33-37.
[12]	Dang fuxing . SIMULATED REFLECTANCE METHOD OF TOPOGRAPHY AFFECT CORRECTION FOR AIRBORNE THEMATIC MAPPER[J]. REMOTE SENSING FOR LAND & RESOURCES, 1999, 11(4): 33-39.

Viewed

Full text

Abstract

Cited

Shared

Discussed