Mediterranean vegetation analysis by multi-temporal satellite sensor data

被引:48
作者
Grignetti, A [1 ]
Salvatori, R [1 ]
Casacchia, R [1 ]
Manes, F [1 ]
机构
[1] PROGRAMMA ANTARTIDE, CNR IIA, I-00159 ROME, ITALY
关键词
D O I
10.1080/014311697218430
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
A mediterranean vegetated coastal area has been classified on the basis of multi-temporal TM images and accurate field data. The latter was revealed to be particularly important due to the complexity of the area in terms of coverage degree, height structure of living vegetation and the occurrence of under-storey species. The recognition and classification of the different coenosis has taken into account that the spectral characteristics of vegetation depends on the season and on local climatic conditions. A major improvement in the spatial resolution of spectral data has been obtained by merging TM and SPOT-P by a RGB-IHS transformation that allowed an overall accuracy in the classification of 85 per cent to be achieved.
引用
收藏
页码:1307 / 1318
页数:12
相关论文
共 50 条
[41]   Multi-Temporal Remote Sensing Satellite Data Analysis for the 2023 Devastating Flood in Derna, Northern Libya [J].
Shults, Roman ;
Farahat, Ashraf ;
Usman, Muhammad ;
Rahman, Md Masudur .
REMOTE SENSING, 2025, 17 (04)
[42]   Mapping Irrigated and Rainfed Wheat Areas Using Multi-Temporal Satellite Data [J].
Jin, Ning ;
Tao, Bo ;
Ren, Wei ;
Feng, Meichen ;
Sun, Rui ;
He, Liang ;
Zhuang, Wei ;
Yu, Qiang .
REMOTE SENSING, 2016, 8 (03)
[43]   Agricultural crop discrimination in a heterogeneous low-mountain range region based on multi-temporal and multi-sensor satellite data [J].
Kyere, Isaac ;
Astor, Thomas ;
Grass, Ruediger ;
Wachendorf, Michael .
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2020, 179
[44]   Analysis of bar morphology using multi-temporal and multi-sensor satellite images: Example from the Han Estuary, Korea [J].
Yang, Chan-Su ;
Ouchi, Kazuo .
MARINE GEOLOGY, 2012, 311 :17-31
[45]   MULTI-CROP SEPARABILITY STUDY OF RABI CROPS USING MULTI-TEMPORAL SATELLITE DATA [J].
Vyas, S. P. ;
Oza, M. P. ;
Dadhwal, V. K. .
PHOTONIRVACHAK-JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2005, 33 (01) :75-79
[46]   Multi-crop separability study of Rabi crops using multi-temporal satellite data [J].
Vyas S.P. ;
Oza M.P. ;
Dadhwal V.K. .
Journal of the Indian Society of Remote Sensing, 2005, 33 (1) :75-79
[47]   Monitoring vegetation dynamics in East Rennell Island World Heritage Site using multi-sensor and multi-temporal remote sensing data [J].
Wang, Mengmeng ;
He, Guojin ;
Ishwaran, Natarajan ;
Hong, Tianhua ;
Bell, Andy ;
Zhang, Zhaoming ;
Wang, Guizhou ;
Wang, Meng .
INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2020, 13 (03) :393-409
[48]   Vegetation mapping using multi-temporal ETM plus data and a decision tree classifier [J].
de Colstoun, EB ;
Story, MH ;
Thompson, C ;
Smith, TG ;
Irons, JR .
IGARSS 2002: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM AND 24TH CANADIAN SYMPOSIUM ON REMOTE SENSING, VOLS I-VI, PROCEEDINGS: REMOTE SENSING: INTEGRATING OUR VIEW OF THE PLANET, 2002, :2890-2892
[49]   Detection of change in vegetation in the surrounding Desert areas of Northwest China and Mongolia with multi-temporal satellite images [J].
Han, Kyung-Soo ;
Park, Youn-Young ;
Yeom, Jong-Min .
ASIA-PACIFIC JOURNAL OF ATMOSPHERIC SCIENCES, 2015, 51 (02) :173-181
[50]   Multi-temporal dataset of stand and canopy structural data in temperate and Mediterranean coppice forests [J].
Chianucci, Francesco ;
Ferrara, Carlotta ;
Bertini, Giada ;
Fabbio, Gianfranco ;
Tattoni, Clara ;
Rocchini, Duccio ;
Corona, Piermaria ;
Cutini, Andrea .
ANNALS OF FOREST SCIENCE, 2019, 76 (03)