REMOTE SENSING IN MANGROVE RESEARCH -RELATIONSHIP BETWEEN VEGETATION INDICES AND DENDROMETRIC PARAMETERS: A CASE FOR CORINGA, EAST COAST OF INDIA - Institut français de Pondichéry Accéder directement au contenu
Communication Dans Un Congrès Année : 2001

REMOTE SENSING IN MANGROVE RESEARCH -RELATIONSHIP BETWEEN VEGETATION INDICES AND DENDROMETRIC PARAMETERS: A CASE FOR CORINGA, EAST COAST OF INDIA

Behara Satyanarayana
  • Fonction : Auteur
B. Thierry
  • Fonction : Auteur
D. Lo Seen
  • Fonction : Auteur
A. V. Raman
  • Fonction : Auteur

Résumé

The mangrove forest of the Godavari estuary, Andhra Pradesh, represents the second largest area of such vegetation formations along the East Coast of India, next to the Sunderbans (West-Bengal). Although declared as Wildlife Sanctuary since 1972, this rich but fragile ecosystem has undergone serious alterations largely induced by human activities. Continuous efficient retrieval of reliable information from the mangroves is therefore necessary for conservation purposes. Satellite remote sensing is a useful source of information as it provides timely and complete coverage of the study area, complementing field surveys of higher information content but which are more difficult to carry out, especially in mangroves. The purpose of the present study is 1) to map the mangrove formations and its surroundings based on a supervised classification of remote-sensing data and 2) to analyse the potential relationships between mangrove dendrometric parameters and spectral indices extracted from satellite data. The supervised classification was carried out with an IRS-1C LISS3 image of March 1999 and was trained from ground truth data and field knowledge. Among the resulting 14 classes, 3 correspond to different mangrove signatures. The ground truth includes 128 sampling locations for which mangrove vegetation parameters like basal area and tree density have been estimated using the Point Centred Quarter Method (PCQM) on transect lines of at least 100 m. In a second stage, Vegetation Indices (VI) have been calculated at locations for which mangrove parameters were obtained from field surveys. Various statistical tools, among which scatter-plots and analyses of variance (ANOVA), have been used in order to explore the relationships that may exist between VI and mangrove parameters. The first results show that a relationship exists between VI and basal area whereas this is not the case with density. Furthermore, when spectral indices and mangrove parameters are considered altogether, it appears that only two classes of mangrove can be discriminated.
Fichier principal
Vignette du fichier
ACRS2001.pdf (1.33 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
licence : CC BY - Paternité

Dates et versions

hal-04103227 , version 1 (23-05-2023)

Licence

Paternité

Identifiants

  • HAL Id : hal-04103227 , version 1

Citer

Behara Satyanarayana, B. Thierry, D. Lo Seen, A. V. Raman, Gowrappan Muthusankar. REMOTE SENSING IN MANGROVE RESEARCH -RELATIONSHIP BETWEEN VEGETATION INDICES AND DENDROMETRIC PARAMETERS: A CASE FOR CORINGA, EAST COAST OF INDIA. 22nd Asian Conference on Remote Sensing, Centre for Remote Imaging, Sensing and Processing, National University of Singapore, Nov 2001, Singapore, Singapore. ⟨hal-04103227⟩
38 Consultations
49 Téléchargements

Partager

Gmail Facebook X LinkedIn More