Remote sensing for resources development and environmental management: Remote sensing for resources development and environmental management

damen, m. c. j.

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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:: 856641294

Title:: Remote sensing for resources development and environmental management

Sub title:: proceedings of the 7th international Symposium, Enschede, 25 - 29 August 1986

Scope:: IX Seiten, Seiten 551-956

Year of publication:: 1986

Place of publication:: Rotterdam; Boston

Publisher of the original:: A,. A. Balkema

Identifier (digital):: 856641294

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(26,7,2)

Language:: English

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: Damen, M. C. J.

Editor:: International Society for Photogrammetry and Remote Sensing, Commission of Photographic and Remote Sensing Data

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:: 6 Hydrology: Surface water, oceanography, coastal zone, ice and snow. Chairman: K. A. Ulbricht, Co-chairman: Mikio Takagi, Liaison: R. Spanhoff

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Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: A methodology for integrating satellite imagery and field observations for hydrological régionalisation in Alpine catchments. R. Allewijn

Document type:: Multivolume work

Structure type:: Chapter

Symposium on Remote Sensing for Resources Development and Environmental Management / Enschede / August 1986 A methodology for integrating satellite imagery and field observations for hydrological régionalisation in Alpine catchments R.Allewijn Department of Hydrogeology and Geographical Hydrology, Institute of Earth Sciences, Free University, Amsterdam, Netherlands ABSTRACT : Years of intensive fieldwork in the N-Italian Dolomites have demonstrated that in complex Alpine environments predictions of stream runoff and sediment yield for ungauged watersheds require a semi-distrib uted, physically-based régionalisation model. The physically-based character of the model has to be guaranteed by detailed field observations, while Landsat remote sensing data can be quite valuable in quantifying the distributed nature of the model. A hierarchical régionalisation procedure is presently being applied to the N-Italian Dolomits : (1) A broad physiographic zone of Permo-Triassic-Liassic rocks has been delineated with Landsat MSS images (1:200.000). (2) Vegetation and landuse units are identified by a supervised digital classification of Landsat data. Other patterns of landsurface-physical features are delineated by the visual interpretation of Landsat MSS and TM imagery (1:100.000-1:25.000). (3) After an insight and quantification is gained of the relation between the landsurface-physical variables and the hydrological character of the Permo-Triassic-Liassic rocks, by comparison with hydrological field sur vey data, surface water systems and related groundwater flow systems are identified. (4) The spatial characteristics of the hydrological units are stored in a Geographic Information System, which sërves as a data bank for semi-distributed water and sediment yield models. (5) Landsat data can further be used to correlate reflectance indices with specific field-data-based model parameters. This procedure is being developed for a reference area and will be tested for a control area during a later stage of the investigation. In conclusion, if one knows how to use remotely-sensed information, this data source could be an important additional tool in solving the hydrological régionalisation problem. 1 INTRODUCTION curve Number Model (Soil Conservation Service, 1972) cannot be applied to catchments 1.1 Problem-oriented régionalisation approach with a complex spatial distribution of hydrologi cal units. A more realistic way to deal with the In Alpine environments, where a detailed gauging network is often missing, reliable predictions of stream runoff and sediment yield are most needed. The extrapolation of records to ungauged catchments can be performed by several régionalisation methods (Figure 1). The choice for a specific approach de pends on the nature of problems to be solved, the scale at which a solution is required and the com plexity of the research area (Simmers, 1984). meters have no unique relation to field measure- ments of hydrological phenomena or to landsurface- physical variables, are not suited for the extrapo lation of the results of gauged watersheds to un problem of heterogeneity is to divide the catchment into a number of homogeneous subareas and to model the hydrological processes for each subarea separa tely (semi-distributed models such as the USDAHL-74 Model;- Holtan et al., 1975). Calibrated catchment models, in which the para- regionalisation models gauged watersheds. Consequently, in complex Alpine regions, a physically-based model with a (semi)dis tributed character is recommended. [statistical models| [conceptual modelsj 1.2 Use of satellite imagery in catchment modelling Figure 1. Régionalisation models. Until now, the evaluation of the applicability of remote sensing techniques to infer basic model para meters has been focused on existing catchment models (Peck et al., 1981; Engman, 1982; Rango, 1985). How ever, these models do not have a significant poten tial for using remotely-sensed information (Peck et al, 1982). Lumped models, such as the Stanford Watershed Model IV (Crawford and Linsley, 1966) and the SCS In (Alpine) regions, where a large number of factors controls the hydrological regime, it seems to be very difficult to predict the runoff of ungauged catchments by purely statistical methods (Mosley, 1981; Ebisemiju, 1979). In such areas a conceptual model is more appropriate, in which the types of hydrological processes and their interrelationship with landsurface-physical variables are considered. The incorporation of Landsat data in catchment response modelling has been described, among others, by Ragan and Jackson (1980 : SCS Curve Number Model), Groves and Ragan (1981 : Modified Stanford Watershed Model) and Fisher and Ormsby (1982 : USDAHL-74 Model). As the Landsat bands can give only indirect estimates of hydrological parameters, one has to determine how landsurface-physical features are re lated to hydrological characteristics of the area. Field observations are indispensable for this pur pose (Figure 2). 693

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