OPTICAL AND RADAR TEMPORAL SIGNATURES OF SUNFLOWER USING SYNCHRONOUS SATELLITE IMAGES - MULTI-FREQUENCIES AND MULTI-POLARIZATIONS ANALYSES

被引:2
|
作者
Fieuzal, Remy [1 ]
Baup, Frederic [1 ]
机构
[1] Univ Toulouse, Ctr Etud Spati Biosphere CESBIO, Toulouse, France
关键词
Sunflower; SAR; multi-frequency; multi-polarization; optical; temporal signature;
D O I
10.1109/IGARSS.2014.6946725
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper aims to establish and to analyze the temporal reflectance signatures of sunflower according to optical and radar satellite images. The study is performed in the south west of France, and takes advantage of the MCM'10 experiment (Multispectral Crop Monitoring), conducted in 2010 by the CESBIO laboratory. Images are provided by 6 satellites sensors (Formosat-2, Spot-4 and -5, TerraSAR-X, Radarsat-2 and Alos). The proposed method consists in correcting the angular effect of radar signal, and in analyzing the different temporal signatures depending on the phenological cycle of the sunflower (at parcel and landscape scales). Results highlight the importance of the radar angular normalization and show the importance of multi-frequency approaches in the context of Sentinel-1, TerraSAR-X and Alos-2 missions. Among the wide range of tested radar signal combinations, the C- and L-bands appear more adapted to monitor sunflower, and further estimate its biophysical parameters.
引用
收藏
页码:1512 / 1515
页数:4
相关论文
共 50 条
  • [21] AUTOMATIC ROAD NETWORK EXTRACTION USING HIGH RESOLUTION MULTI-TEMPORAL SATELLITE IMAGES
    Pandit, Vinay
    Gupta, Sudhir
    Rajan, K. S.
    2009 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-5, 2009, : 3697 - 3700
  • [22] Mapping of grassland using seasonal statistics derived from multi-temporal satellite images
    Zillmann, Erik
    Weichelt, Horst
    Herrero, Enrique Montero
    Esch, Thomas
    Keil, Manfred
    van Wolvelaer, Joeri
    MULTITEMP 2013: 7TH INTERNATIONAL WORKSHOP ON THE ANALYSIS OF MULTI-TEMPORAL REMOTE SENSING IMAGES, 2013,
  • [23] OVERVIEW OF A DECADE OF YEARLY LAND COVER CLASSIFICATIONS DERIVED FROM MULTI-TEMPORAL OPTICAL SATELLITE IMAGES
    Sicre, Claire Marais
    Tallec, Tiphaine
    Fieuzal, Remy
    2020 MEDITERRANEAN AND MIDDLE-EAST GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (M2GARSS), 2020, : 231 - 234
  • [24] A highly automated algorithm for wetland detection using multi-temporal optical satellite data
    Ludwig, Christina
    Walli, Andreas
    Schleicher, Christian
    Weichselbaum, Juergen
    Riffler, Michael
    REMOTE SENSING OF ENVIRONMENT, 2019, 224 : 333 - 351
  • [25] Analysis of bar morphology using multi-temporal and multi-sensor satellite images: Example from the Han Estuary, Korea
    Yang, Chan-Su
    Ouchi, Kazuo
    MARINE GEOLOGY, 2012, 311 : 17 - 31
  • [26] Critical Assessment of Land Use Land Cover Dynamics Using Multi-Temporal Satellite Images
    Mondal, Md. Surabuddin
    Sharma, Nayan
    Kappas, Martin
    Garg, P. K.
    ENVIRONMENTS, 2015, 2 (01): : 61 - 90
  • [27] Prediction of soil organic matter using multi-temporal satellite images in the Songnen Plain, China
    Dou, Xin
    Wang, Xiang
    Liu, Huanjun
    Zhang, Xinle
    Meng, Linghua
    Pan, Yue
    Yu, Ziyang
    Cui, Yang
    GEODERMA, 2019, 356
  • [28] Land Cover Changes of Bagua Island with Collaborative Representation using Multi-temporal Satellite Images
    Yu, Yao
    Wu, Zhaoyue
    Su, Hongjun
    Du, Qian
    2019 10TH INTERNATIONAL WORKSHOP ON THE ANALYSIS OF MULTITEMPORAL REMOTE SENSING IMAGES (MULTITEMP), 2019,
  • [29] Multi-temporal monitoring of wheat growth by using images from satellite and unmanned aerial vehicle
    Du Mengmeng
    Noboru, Noguchi
    Atsushi, Itoh
    Yukinori, Shibuya
    INTERNATIONAL JOURNAL OF AGRICULTURAL AND BIOLOGICAL ENGINEERING, 2017, 10 (05) : 1 - 13
  • [30] Crop classification using multi-temporal HJ satellite images: case study in Kashgar, Xinjiang
    Hao, Pengyu
    Niu, Zheng
    Wang, Li
    LAND SURFACE REMOTE SENSING II, 2014, 9260