TERRASAR-X AND RADARSAT-2 FOR CROP CLASSIFICATION AND ACREAGE ESTIMATION

被引：16
作者：
McNairn, H. [1 ]
Shang, J. [1 ]
Champagne, C. [1 ]
Jiao, X. [1 ]
机构：
[1] Agr & Agri Food Canada, Ottawa, ON K1A 0C6, Canada
来源：
2009 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-5 | 2009年
关键词：
TerraSAR-X; RADARSAT-2; crop classification;
D O I：
10.1109/IGARSS.2009.5418243
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
This research outlines a preliminary assessment of the use of TerraSAR-X data for classifying agricultural crop land in Canada. X-Band data were able to identify crops (pasture-forage, soybeans, corn and wheat) to accuracies of 95% once a post-classification filter was applied. These accuracies were achieved using six TerraSAR-X images from 2008 and a decision-tree classification algorithm. Acquisitions began only mid-season and consequently a second full season TerraSAR-X data set is being collected in 2009. C-Band classification accuracies were about 10% lower in comparison These results clearly demonstrate the potential of X-Band data for crop identification.
引用
收藏
页码：1149 / 1152
页数：4
相关论文
共 50 条
  • [1] RADARSAT-2 AND TERRASAR-X POLARIMETRIC DATA FOR CROP GROWTH STAGES ESTIMATION
    Li, Yifeng
    Lampropoulos, George
    2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, : 4510 - 4513
  • [2] Utilizing both Radarsat-2 And TerraSAR-X Polarimetric Data For Crop Growth Stages Estimation
    Li, Yifeng
    Lampropoulos, George
    2017 22ND INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING (DSP), 2017,
  • [3] Using RADARSAT-2 and TerraSAR-X Satellite Data for the Identification of Canola Crop Phenology
    Pacheco, Anna
    McNairn, Heather
    Li, Yifeng
    Lampropoulos, George
    Powers, Jarrett
    REMOTE SENSING FOR AGRICULTURE, ECOSYSTEMS, AND HYDROLOGY XVIII, 2016, 9998
  • [4] ADVANCEMENTS IN ESTIMATING CROP GROWTH STAGES USING RADARSAT-2 AND TERRASAR-X POLARIMETRIC DATA
    Lampropoulos, George
    Li, Yifeng
    Liu, Ting
    36TH INTERNATIONAL SYMPOSIUM ON REMOTE SENSING OF ENVIRONMENT, 2015, 47 (W3): : 1227 - 1232
  • [5] Early season monitoring of corn and soybeans with TerraSAR-X and RADARSAT-2
    McNairn, H.
    Kross, A.
    Lapen, D.
    Caves, R.
    Shang, J.
    INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2014, 28 : 252 - 259
  • [6] CLASSIFICATION OF GRASSLAND TYPES BY MEANS OF MULTI-SEASONAL TERRASAR-X AND RADARSAT-2 IMAGERY
    Metz, Annekatrin
    Marconcini, Mattia
    Esch, Thomas
    Reinartz, Peter
    Ehlers, Manfred
    2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2014, : 1202 - 1205
  • [7] COMBINED USE OF TERRASAR-X AND RADARSAT-2 DATA - A STUDY OF A VIRTUAL CONSTELLATION
    Lang, Oliver
    Weihing, Diana
    Gressler, Franziska
    Fahrland, Ernest
    Schrader, Henning
    Salow, Denis
    Minguy, Valerie
    Oswald, Michael
    Tinz, Marek
    2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 3030 - 3033
  • [8] Evaluating suitability of Pol-SAR (TerraSAR-X, Radarsat-2) for automated sea ice classification
    Ressel, Rudolf
    Singha, Suman
    Lehner, Susanne
    LAND SURFACE AND CRYOSPHERE REMOTE SENSING III, 2016, 9877
  • [9] THE USE OF RADARSAT-2 AND TERRASAR-X DATA FOR THE EVALUATION OF SNOW CHARACTERISTICS IN SUBARCTIC REGIONS
    Duguay, Yannick
    Bernier, Monique
    2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 3556 - 3559
  • [10] MONITORING OF SUBARCTIC SHRUB VEGETATION CHARACTERISTICS USING TERRASAR-X AND RADARSAT-2 DATA
    Duguay, Yannick
    Bernier, Monique
    Levesque, Esther
    Tremblay, Benoit
    2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2014, : 1194 - 1197
12345