Exploring the Potential of Mapping Cropping Patterns on Smallholder Scale Croplands Using Sentinel-1 SAR Data

被引:0
作者
Juliana USEYA
CHEN Shengbo
机构
[1] CollegeofGeoExplorationScienceandInformationEngineering,JilinUniversity
关键词
cropping patterns; polarized backscatter; time series; Sentinel-1; SAR; Zimbabwe;
D O I
暂无
中图分类号
TN958 [雷达:按体制分]; S12 [农业物理学];
学科分类号
080904 ; 0810 ; 081001 ; 081002 ; 081105 ; 0825 ; 09 ;
摘要
It is of paramount importance to have sustainable agriculture since agriculture is the backbone of many nations' economic development. Majority of agricultural professionals rarely capture the cropping patterns necessary to promote Good Agricultural Practises.Objective of this research is to explore the potential of mapping cropping patterns occurring on different field parcels on small-scale farmlands in Zimbabwe. The first study location under investigation are the International Maize and Wheat Improvement Center(CIMMYT) research station and a few neighboring fields, the second is Middle Sabi Estate. Fourier time series modeling was implemented to determine the trends befalling on the two study sites. Results reveal that Sentinel-1 synthetic aperture radar(SAR) time series allow detection of subtle changes that occur to the crops and fields respectively, hence can be utilized to detect cropping patterns on small-scale farmlands. Discrimination of the main crops(maize and soybean) grown at CIMMYT was possible, and crop rotation was synthesized where sowing starts in November. A single cropping of early and late crops was observed, there were no winter crops planted during the investigation period. At Middle Sabi Estate, single cropping on perennial sugarcane fields and triple cropping of fields growing leafy vegetables, tomatoes and onions were observed. Classification of stacked images was used to derive the crop rotation maps representing what is practised at the farming lands. Random forest classification of the multi-temporal image stacks achieved overall accuracies of 99% and 95% on the respective study sites. In conclusion, Sentinel-1 time series can be implemented effectively to map the cropping patterns and crop rotations occurring on small-scale farming land. We recommend the use of Sentinel-1 SAR multi-temporal data to spatially explicitly map cropping patterns of single-, double-and triple-cropping systems on both small-scale and large-scale farming areas to ensure food security.
引用
收藏
页码:626 / 639
页数:14
相关论文
共 10 条
[1]  
A Simple Method to Extract Tropical Monsoon Forests Using NDVI Based on MODIS Data: A Case Study in South Asia and Peninsula Southeast Asia[J]. LIN Sen,LIU Ronggao. Chinese Geographical Science. 2016(01)
[2]  
A new method for crop classification combining time series of radar images and crop phenology information[J] . Damian Bargiel. Remote Sensing of Environment . 2017
[3]  
Multiple cropping intensity in China derived from agro-meteorological observations and MODIS data[J] . Huimin Yan,Xiangming Xiao,Heqing Huang,Jiyuan Liu,Jingqing Chen,Xuehong Bai. Chinese Geographical Science . 2014 (2)
[4]  
An African success: the case of conservation agriculture in Zimbabwe[J] . LungoweSepo Marongwe,Karsto Kwazira,Michael Jenrich,Christian Thierfelder,Amir Kassam,Theodor Friedrich. International Journal of Agricultural Sustainability . 2011 (1)
[5]   Application of multi-temporal ENVISAT ASAR data to agricultural area mapping in the Pearl River Delta [J].
Wang, Dan ;
Lin, Hui ;
Chen, Jinsong ;
Zhang, Yuanzhi ;
Zeng, Qiwei .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2010, 31 (06) :1555-1572
[6]   Evaluation of speckle filtering and texture analysis methods for land cover classification from SAR images [J].
Nyoungui, AN ;
Tonye, E ;
Akono, A .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2002, 23 (09) :1895-1925
[7]  
Multitemporal ERS-1 SAR Data for Crop Classification: A Sequential-Masking Approach[J] . Y. Ban,P.J. Howarth. Canadian Journal of Remote Sensing . 1999 (5)
[8]   CROP CLASSIFICATION FROM C-BAND POLARIMETRIC RADAR DATA [J].
FOODY, GM ;
MCCULLOCH, MB ;
YATES, WB .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1994, 15 (14) :2871-2885
[9]   STRUCTURE DETECTION AND STATISTICAL ADAPTIVE SPECKLE FILTERING IN SAR IMAGES [J].
LOPES, A ;
NEZRY, E ;
TOUZI, R ;
LAUR, H .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1993, 14 (09) :1735-1758
[10]  
Wheat Crop Mapping by Using ASAR AP Data .2 Satalino,G,Mattia,F,Le Toan,T,Rinaldi,M. Geoscience and Remote Sensing, IEEE Transactions on . 2009