- 卓越行动计划二期中文领军期刊
- 中国科学引文数据库核心期刊
- 中文核心期刊、中国科技核心期刊
- 第1、2届国家期刊奖
- 第3届国家期刊奖百种重点期刊奖
- 中国精品科技期刊、中国百强报刊
- 百种中国杰出学术期刊
| Citation: |
PAN Yaozhong, LI Qiangzi, ZHANG Jinshui, SHI Jitian, ZHU Xiufang, GU Xiaohe, ZHU Wenquan, YUE Jianwei, JIA Kun, DU Xin, ZHANG Fumin, ZHANG Yang, WANG Hongyan, WANG Wenna, LI Le. Summary and review of research progress on multi-dimensional and multi-scale stereoscopic statistical remote sensing survey technology for major crop areas[J]. Journal of Beijing Normal University(Natural Science), 2025, 61(1): 118-125. DOI: 10.12202/j.0476-0301.2024188
|
Information on crop areas and other agricultural conditions serves as a crucial reference for agricultural policy formulation and the optimization of agricultural resource allocation． Since 2003, Beijing Normal University has collaborated with multiple research institutes and enterprises to innovate and apply multi-dimensional and multi-scale remote sensing statistical survey technology for major crop areas． After more than a decade of dedicated research and technological breakthroughs, a new generation of air-space-ground remote sensing survey technology systems for crop area statistics has been innovatively developed． This system has overcome key technical challenges such as the fine identification of crops using multi-source data, the integration of statistical sampling with remote sensing measurements for crop area estimation, and the development of spatial sampling techniques for statistical surveys and authenticity verification of crop area statistical products． Additionally, a new protocol and operational system for remote sensing survey of major crop area statistics have been designed． The relevant research results have been widely applied in national agricultural statistical survey operation, and have supported the remote sensing measurement of crop areas in the third national agricultural census, realizing a technological upgrade from “human-based” to “land-based” crop area statistical surveys．
| [1] |
吴炳方,蒙继华,李强子. 国外农情遥感监测系统现状与启示[J]. 地球科学进展,2010,25(10):1003
|
| [2] |
陈水森,柳钦火,陈良富,等. 粮食作物播种面积遥感监测研究进展[J]. 农业工程学报,2005,21(6):166
|
| [3] |
阳小琼,朱文泉,潘耀忠,等. 作物种植面积空间对地抽样方法设计[J]. 农业工程学报,2007,23(12):150
|
| [4] |
王迪,周清波,刘佳. 作物面积空间抽样研究进展[J]. 中国农业资源与区划,2012,33(2):9
|
| [5] |
HILL J D,STROMMEN N D,SAKAMOTO C M,et al. LACIE:an application of meteorology for United States and foreign wheat assessment[J]. Journal of Applied Meteorology,1980,19(1):22 doi: 10.1175/1520-0450(1980)019<0022:LAOMFU>2.0.CO;2
|
| [6] |
VAN DER VELDE M,VAN DIEPEN C A,BARUTH B. The European crop monitoring and yield forecasting system:Celebrating 25 years of JRC MARS Bulletins[J]. Agricultural Systems,2019,168:56 doi: 10.1016/j.agsy.2018.10.003
|
| [7] |
HOMAYOUNI S,MCNAIRN H,HOSSEINI M,et al. Quad and compact multitemporal C-band PolSAR observations for crop characterization and monitoring[J]. International Journal of Applied Earth Observation and Geoinformation,2019,74:78 doi: 10.1016/j.jag.2018.09.009
|
| [8] |
申克建,何浩,蒙红卫,等. 农作物面积空间抽样调查研究进展[J]. 中国农业资源与区划,2012,33(4):11
|
| [9] |
潘耀忠,张锦水,朱文泉,等. 粮食作物种植面积统计遥感测量与估产[M]. 北京:科学出版社,2013
|
| [10] |
李宜展,朱秀芳,张锦水,等. 与抽样相结合的县级作物遥感面积估算应用实例[J]. 遥感技术与应用,2015,30(5):891
|
| [11] |
孙佩军,张锦水,潘耀忠,等. 基于无人机样方事后分层的作物面积估算[J]. 中国农业资源与区划,2016,37(2):1
|
| [12] |
夏兴生,李忠义,朱秀芳,等. 基于遥感抽样的农作物种植面积测量野外调查系统设计与实践[J]. 农业现代化研究,2017,38(6):1075
|
| [13] |
谢登峰,张锦水,潘耀忠,等. Landsat 8和MODIS融合构建高时空分辨率数据识别秋粮作物[J]. 遥感学报,2015,19(5):791
|
| [14] |
张建国,李宪文,吴延磊. 面向对象的冬小麦种植面积遥感估算研究[J]. 农业工程学报,2008,24(5):156
|
| [15] |
钱永兰,杨邦杰,焦险峰. 基于遥感抽样的国家尺度农作物面积统计方法评估[J]. 农业工程学报,2007,23(11):180
|
| [16] |
PAN Y Z,LI L,ZHANG J S,et al. Winter wheat area estimation from MODIS-EVI time series data using the Crop Proportion Phenology Index[J]. Remote Sensing of Environment,2012,119:232 doi: 10.1016/j.rse.2011.10.011
|
| [17] |
ZHANG H X,LI Q Z,LIU J G,et al. Corrections to “image classification using RapidEye data:integration of spectral and textual features in a random forest classifier”[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2018,11(7):2571 doi: 10.1109/JSTARS.2018.2830178
|
| [18] |
LIU J H,ZHU W Q,CUI X F. A shape-matching cropping index (CI) mapping method to determine agricultural cropland intensities in China using MODIS time-series data[J]. Photogrammetric Engineering & Remote Sensing,2012,78(8):829
|
| [19] |
朱秀芳,贾斌,潘耀忠,等. 不同特征信息对TM尺度冬小麦面积测量精度影响研究[J]. 农业工程学报,2007,23(9):122
|
| [20] |
PAN Y Z,HU T G,ZHU X F,et al. Mapping cropland distributions using a hard and soft classification model[J]. IEEE Transactions on Geoscience and Remote Sensing,2012,50(11):4301 doi: 10.1109/TGRS.2012.2193403
|
| [21] |
顾晓鹤,潘耀忠,何馨,等. 以地块分类为核心的冬小麦种植面积遥感估算[J]. 遥感学报,2010,14(4):789
|
| [22] |
张锦水,潘耀忠,胡潭高,等. 冬小麦种植面积空间抽样效率影响因子分析[J]. 农业工程学报,2009,25(8):169
|
| [23] |
朱爽,张锦水. 面向省级农作物种植面积遥感估算的分层方法[J]. 农业工程学报,2013,29(2):184
|
| [24] |
谭建光,张锦水,高晨雪,等. 基于结构规模的冬小麦种植面积遥感抽样估算[J]. 农业工程学报,2012,28(23):114
|
| [25] |
胡潭高,张锦水,潘耀忠,等. 基于不同抽样方法的遥感面积测量方法研究[J]. 国土资源遥感,2008,20(3):37
|
| [26] |
LI Y Z,ZHU X F,PAN Y Z,et al. A comparison of model-assisted estimators to infer land cover/use class area using satellite imagery[J]. Remote Sensing,2014,6(9):8904 doi: 10.3390/rs6098904
|
| [27] |
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 doi: 10.1016/j.compag.2011.07.008
|
| [28] |
HAN W G,YANG Z W,DI L P,et al. Enhancing agricultural geospatial data dissemination and applications using geospatial web services[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2014,7(11):4539 doi: 10.1109/JSTARS.2014.2315593
|
| [29] |
D’ANDRIMONT R,VERHEGGHEN A,MERONI M,et al. LUCAS Copernicus 2018:earth-observation-relevant in situ data on land cover and use throughout the European Union[J]. Earth System Science Data,2021,13(3):1119 doi: 10.5194/essd-13-1119-2021
|
| [30] |
PAN Y Z,ZHANG J S,ZHOU W,et al. Methodology of the crops acreage estimation using remote sensing and survey sampling in national statistical system of China[C]//2012 First International Conference on Agro- Geoinformatics (Agro-Geoinformatics). August 2-4,2012,Shanghai,China:IEEE,2012:1
|
| [31] |
胡潭高,张锦水,马卫峰,等. 粮食作物面积遥感测量运行系统的设计与实现[J]. 农业工程学报,2010,26(3):163
|
Supported by: Beijing Renhe Information Technology Co., Ltd. 
DownLoad: