| Titre : | A proposed framework for using remote sensing imagery to monitor environmental dynamics in support to local planning efforts |
| Auteurs : | N. Beaulieu ; G. Leclerc ; M. Alvarez ; G. De Wispelaere ; J. Jaramillo ; Y. Rubiono ; A. Fajardo ; O. Muñoz ; N. Peñuela ; CIAT ; Workshop on Integrated Natural Resources Management (INRM), CIAT, cali, colombia, 28-31 August 2001 (2001; COL) ; CORPOICA ; CIRAD EMVT MONTPELLIER ; UMATA PUERTO LOPEZ |
| Type de document : | article/chapitre/communication |
| Année de publication : | 2001 |
| Format : | 15 p. |
| Note générale : |
Sigle : CIRAD-EMVT Sigle : ISRA Sigle : CIAT Diffusion tous publics |
| Langues: | = Anglais |
| Catégories : | |
| Mots-clés: | COLOMBIE ; IMAGE SATELLITAIRE ; DYNAMIQUE DE VEGETATION ; TELEDETECTION ; MANAGEMENT |
| Résumé : | Despite its potential for monitoring environmental dynamics, the adoption of Remote Sensing technology for local planning has been low, which leads us to think of a new paradigm for its rote and application. Our experience has showed that local actors take ownership of this technology when it allows them to effectively answer questions that arise during the planning process, either during diagnosis and monitoring or in action planning. When these questions are not well defined, much effort is spent in descriptive collections of data from which it is difcult to draw useful conclusions. In those cases, remote ensing images simply add to the quantities of confusing data acquired. Through ongoing case studies in the Colombian Eastern plains (or llanos), we propose a framework for using remote sensing images in community-based natural resources management. Community goals are expressed as "desirable future conditions", determined in a participatory way and based on an envisioning process. Using carefully chosen indicators, present conditions and trends are described with respect to the desired conditions and progress towards these goals is monitored. Remote sensing imagery play a fondamental role in the estimation of some of these indicators in a timely, low-cost, and intuitive manner. They also help certain actors focus their actions in space and time. In the two examples presented, we apply very simple analysis techniques to time series of multispectral images, to identify possible areas of deforestation, forest regeneration or pasture degradation. These areas are then further investigated in the field. Our ongoing research with other organisations aims at developing reliable methods to assess pasture conditions, combining satellite image analysis and field surveys. We have very encouraging preliminary results using various multispectral images within a year, which allow us to identify areas that present a persistently low vegetative cover. The image analysis techniques that we developed are being adapted to software that can be freely distributed to users. This framework could be widely adopted by local planners and agricultural extension agents but this requires adequate networking between providers and users of data and technical support. |
Exemplaires (1)
| Centre | Localisation | Section | Cote | Statut | Disponibilité | Département |
|---|---|---|---|---|---|---|
| Montpellier | MTD | Articles/chapitres/communications | Dépositaire DOCUMENTATION MAISON DE LA TELEDETECTION/BR 0048 | Consultable sur place | Exclu du prêt |
