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Remote sensing for resources development and environmental management (Volume 1)

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CC BY: Attribution 4.0 International. You can find more information here.

Bibliographic data

fullscreen: Remote sensing for resources development and environmental management (Volume 1)

Multivolume work

Persistent identifier:
856342815
Title:
Remote sensing for resources development and environmental management
Sub title:
proceedings of the 7th international Symposium, Enschede, 25 - 29 August 1986
Year of publication:
1986
Place of publication:
Rotterdam
Boston
Publisher of the original:
A. A. Balkema
Identifier (digital):
856342815
Language:
English
Additional Notes:
Volume 1-3 erschienen von 1986-1988
Editor:
Damen, M. C. J.
Document type:
Multivolume work

Volume

Persistent identifier:
856343064
Title:
Remote sensing for resources development and environmental management
Sub title:
proceedings of the 7th international Symposium, Enschede, 25 - 29 August 1986
Scope:
XV, 547 Seiten
Year of publication:
1986
Place of publication:
Rotterdam
Boston
Publisher of the original:
A. A. Balkema
Identifier (digital):
856343064
Illustration:
Illustrationen, Diagramme
Signature of the source:
ZS 312(26,7,1)
Language:
English
Usage licence:
Attribution 4.0 International (CC BY 4.0)
Editor:
Damen, M. C. J.
Publisher of the digital copy:
Technische Informationsbibliothek Hannover
Place of publication of the digital copy:
Hannover
Year of publication of the original:
2016
Document type:
Volume
Collection:
Earth sciences

Chapter

Title:
3 Spectral signatures of objects. Chairman: G. Guyot, Liaison: N. J. J. Bunnik
Document type:
Multivolume work
Structure type:
Chapter

Chapter

Title:
Spectral signature of rice fields using Landsat-5 TM in the Mediterranean coast of Spain. S. Gandia, V. Caselles, A. Gilabert & J. Meliá
Document type:
Multivolume work
Structure type:
Chapter

Contents

Table of contents

  • Remote sensing for resources development and environmental management
  • Remote sensing for resources development and environmental management (Volume 1)
  • Cover
  • Title page
  • Title page
  • Title page
  • Preface
  • Organization of the Symposium
  • Working Groups
  • Table of contents
  • 1 Visible and infrared data. Chairman: F. Quiel, Liaison: N J. Mulder
  • 2 Microwave data. Chairman: N. Lannelongue, Liaison: L. Krul
  • 3 Spectral signatures of objects. Chairman: G. Guyot, Liaison: N. J. J. Bunnik
  • 4 Renewable resources in rural areas: Vegetation, forestry, agriculture, soil survey, land and water use. Chairman: J. Besenicar, Liaisons: M. Molenaar, Th. A. de Boer
  • Remote sensing in the evaluation of natural resources: Forestry in Italy. Eraldo Amadesi & Rodolfo Zecchi, Stefano Bizzi & Roberto Medri, Gilmo Vianello
  • Visual interpretation of MSS-FCC manual cartographic integration of data. E. Amamoo-Otchere
  • Optimal Thematic Mapper bands and transformations for discerning metal stress in coniferous tree canopies. C. Banninger
  • Land use along the Tana River, Kenya - A study with small format aerial photography and microlight aircraft. R. Beck, S. W. Taiti, D. C. P. Thalen
  • The use of multitemporal Landsat data for improving crop mapping accuracy. Alan S. Belward & John C. Taylor
  • Aerial photography photointerpretation system. J. Besenicar, A. Bilc
  • Inventory of decline and mortality in spruce-fir forests of the eastern U.S. with CIR photos. W. M. Ciesla, C. W. Dull, L. R. McCreery & M. E. Mielke
  • Field experience with different types of remote-sensing data in a small-scale soil and land resource survey in southern Tanzania. T. Christiansen
  • A remote sensing aided inventory of fuelwood volumes in the Sahel region of west Africa: A case study of five urban zones in the Republic of Niger. Steven J. Daus & Mamane Guero, Lawally Ada
  • Development of a regional mapping system for the sahelian region of west Africa using medium scale aerial photography. Steven J. Daus, Mamane Guero, Francois Sesso Codjo, Cecilia Polansky & Joseph Tabor
  • A preliminary study on NOAA images for non-destructive estimation of pasture biomass in semi-arid regions of China. Ding Zhi, Tong Qing-xi, Zheng Lan-fen & Wang Er-he, Xiao Qiang-Uang, Chen Wei-ying & Zhou Ci-song
  • The application of remote sensing technology to natural resource investigation in semi-arid and arid regions. Ding Zhi
  • Use of remote sensing for regional mapping of soil organisation data Application in Brittany (France) and French Guiana. M. Dosso, F. Seyler
  • The use of SPOT simulation data in forestry mapping. S. J. Dury, W. G. Collins & P. D. Hedges
  • Spruce budworm infestation detection using an airborne pushbroom scanner and Thematic Mapper data. H. Epp, R. Reed
  • Land use from aerial photographs: A case study in the Nigerian Savannah. N. J. Field, W. G. Collins
  • The use of aerial photography for assessing soil disturbance caused by logging. J. G. Firth
  • An integrated study of the Nairobi area - Land-cover map based on FCC 1:1M. F. Grootenhuis & H. Weeda, K. Kalambo
  • Explorations of the enhanced FCC 1:100.000 for development planning Land-use identification in the Nairobi area. F. Grootenhuis & H. Weeda, K. Kalambo
  • Contribution of remote sensing to food security and early warning systems in drought affected countries in Africa. Abdishakour A. Gulaid
  • Double sampling for rice in Bangladesh using Landsat MSS data. Barry N. Haack
  • Studies on human interference in the Dhaka Sal (Shorea robusta) forest using remote sensing techniques. Md. Jinnahtul Islam
  • Experiences in application of multispectral scanner-data for forest damage inventory. A. Kadro & S. Kuntz
  • Landscape methods of air-space data interpretation. D. M. Kirejev
  • Remote sensing in evaluating land use, land cover and land capability of a part of Cuddapan District, Andhra Preadesh, India. S. V. B. Krishna Bhagavan & K. L. V. Ramana Rao
  • Farm development using aerial photointerpretation in Ruvu River Valley, Ragamoyo, Tanzania, East Africa. B. P. Mdamu & M. A. Pazi
  • Application of multispectral scanning remote sensing in agricultural water management problems. G. J. A. Nieuwenhuis, J. M. M. Bouwmans
  • Mangrove mapping and monitoring. John B. Rehder, Samuel G. Patterson
  • Photo-interpretation of wetland vegetation in the Lesser Antilles. B. Rollet
  • Global vegetation monitoring using NOAA GAC data. H. Shimoda, K. Fukue, T. Hosomura & T. Sakata
  • National land use and land cover mapping: The use of low level sample photography. R. Sinange Kimanga & J. Lumasia Agatsiva
  • Tropical forest cover classification using Landsat data in north-eastern India. Ashbindu Singh
  • Classification of the Riverina Forests of south east Australia using co-registered Landsat MSS and SIR-B radar data. A. K. Skidmore, P. W. Woodgate & J. A. Richards
  • Remote sensing methods of monitoring the anthropogenic activities in the forest. V. I. Sukhikh
  • Comparison of SPOT-simulated and Landsat 5 TM imagery in vegetation mapping. H. Tommervik
  • Multi-temporal Landsat for land unit mapping on project scale of the Sudd-floodplain, Southern Sudan. Y. A. Yath, H. A. M. J. van Gils
  • Assessment of TM thermal infrared band contribution in land cover/land use multispectral classification. José A. Valdes Altamira, Marion F. Baumgardner, Carlos R. Valenzuela
  • An efficient classification scheme for verifying lack fidelity of existing county level findings to cultivated land cover areas. Yang Kai, Lin Kaiyu, Chen Jun & Lu Jian
  • The application of remote sensing in Song-nen plain of Heilongjiang province, China. Zhang Xiu-yin, Jin Jing, Cui Da
  • Cover

Full text

Symposium on Remote Sensing for Resources Development and Environmental Management / Enschede / August 1986 
257 
Spectral signature of rice fields using Landsat-5 TM 
in the Mediterranean coast of Spain 
S.Gandia, V.Caselles, A.Gilabert & J.Melia 
Department of Thermology, Faculty of Physics, University of Valencia, Spain 
ABSTRACT: This work gives the first results of a study carried out in an agricultural area of the Spanish Mediterranean coast using 
Thematic Mapper images. Three cover types, rice, citric - vegetable orchard and urban area are classified in the zone by using a 
vegetation index. Bands 4 and 5 seem to be more suitable for a possible classification of two varieties of rice. 
Key words: Thematic Mapper, vegetation index, rice plants. 
RESUME: Ce travail donne les premiers résultats d'une étude réalisé dans une zone agricole de la côte méditerranéenne espagnole en 
utilisant des images du Thematic Mapper. Trois types de couverture du sol (riz, agrumes-legumes et une zone urbaine) ont été classées. 
Les canaux 4 et 5 semblent les plus convénianu» pom une distinction de deux variétés de riz. 
Mots clés: Thematic Mapper, index de végétation, cultures rizières. 
1. INTRODUCTION 
The application of radiometric measurements to the study of the 
spectral response of rice has originated a number of publications. 
A fair amount of the experimental measurements have been 
ground-based radiometric ones and have mainly addressed to 
establishing correlations among parameters of an agricultural 
interest such as production, influence of the use of different 
fertilizer treatments (Patel, 1985), (CCE.1978), (Berg, 1980), 
etc. Air - flight images as well as images carried out from 
satellites, especially with the Landsat MSS have also originated 
frequent works (CCE, 1984). 
The Thematic Mapper (TM) sensor of the Landsat 5 provides 
better achievements with respect to the MSS which gives it a 
greater potentiality in regards to thematic mapping techniques. In 
regions with high ground parcelation the increase of spatial 
resolution from 80 m (for the MSS) to 30 m (for the TM) is 
essential. In the same way, the inclusion of new spectral bands, 
B1 (0.45 - 0.52 pm), B5 (1.55 - 1.75 pm) and B7 (2.08 - 2.35 
pm) allow a more complete definition of spectral signatures. The 
increased quantization level of 6 bits (0 - 63) to 8 bits (0 - 255) is 
very important in areas where besides high parcelation, different 
agricultural cultivations alternate with urban areas. D. L. Toll 
(Toll, 1985) carries out an important study comparing the 
different characteristics of TM and MSS sensors for land cover 
classification. 
The present work gives the first results of rice studies carried 
out in an area of the Spanish Mediterranean coast from 
measurements supplied by the satellite Landsat 5 (TM). 
2. STUDY SITE DESCRIPTION AND DATA USED 
Approximately a third of Spanish rice production is obtained at 
the south of the city of Valencia (Spain) which is an area 
eminently agricultural. The area of cultivation (about 15.500 ha) 
expands along the lands bordering the lake "La Albufera" and the 
proximities of the outfall of the Jucar river, "Ribera Baixa". This 
is a high populated area where rice cultivations alternate with 
citrics and vegetables. The lands dedicated to the cultivation of 
rice are slowly but constantly decreasing because they are being 
substituted by orchards and citrics. The map of figure 1 shows 
the referred area and the two studied zones. 
But this seaboard stripe is also undergoing a strong urban 
pressure characteristic of tourist areas. Similarly La Albufera lake 
and its surroundings is an area of general interest due to the 
alterations produced in the natural environment. 
The heterogeneity of land cover types besides the big ground 
parcelation impose the use of satellite measurements with high 
spatial resolution for the classification of the ground. 
In this study two neighbouring zones of about 7 km 2 each 
have been chosen (figure 1). The lower one (Sueca) 
representative of the different land cover types: rice, citric - 
Figure 1. Training sites located in the Mediterranean coast of 
Spain. 
vegetable orchards and urban areas and has been defined in order 
to separate these three land cover classes. The upper zone (La 
Albufera) mainly contains rice fields. The work has been 
centered in this area in order to study the spectral response of 
rice. 
In both zones, reference parcels have been chosen, with the 
caracteristics shown in Table I. The varieties Bahia (91%) and 
Sequial (8%) cover almost exclusively the whole production.The 
net efficiency is about 6500 kg/ha. Parcels with other varieties 
(Rubino, Pierina and Lido) have been taken in order to study 
reflectivities. These latter parcels are considered experimental 
from a production point of view. 
The citric - vegetable class presents a great internal variability 
due to the different degree of vegetated cover of the ground. In 
these class other types of cultivations such as vegetables have 
been included in order to discriminate them from rice.
	        

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