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

Damen, M. C. J.

Bibliographic data

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:: 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

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: Double sampling for rice in Bangladesh using Landsat MSS data. Barry N. Haack

Document type:: Multivolume work

Structure type:: Chapter

461 Symposium on Remote Sensing for Resources Development and Environmental Management / Enschede / August 1986 Double sampling for rice in Bangladesh using Landsat MSS data Barry N.Haack George Mason University, Fairfax, Va., USA Abstract: Landsat Multispectral Scanner (MSS) data were utilized to assess the location and area of the winter or boro rice crop for a study site in Bangladesh. Both digital classifications and visual interpre tations of the Landsat data were conducted using a double sampling between the Landsat analyses and govern mental reported acreages for ten administrative units. The digital data were classified using a table look up of MSS Bands 5 and 7 and the visual analysis conducted with an enlarged false color composite subscene and a rearview projector. Both techniques located about one-half of the reported acreage but had correlations between the reported and Landsat data for the ten units of over 0.90. This study indicates that double sampling with Landsat data can be an effective technique for the inventory of renewable resources in rural areas. 1 INTRODUCTION A common problem to many decision-makers, particularly in less developed countries, is the inadequacy of information on the available resource base. Without accurate information decision makers often fail to make decisions or make incorrect decisions. Sound decisions depend on accurate information, yet every low income country faces severe competing demands for the financial and human commitments necessary to staff an information system equal to its decision-making requirements (Cummings, 1977). The frequent inadequacy of resource base information may be due to difficulties in accessing some regions; lack of trained personnel, equipment or funds to collect information properly; or rapid changes in the resource base not detectable by traditional data collection methods such as the high rates of deforestation in many areas of the world caused by increasing population pressures. One technique which may be utilized to resolve some of these informational needs is remote sensing and especially operational spaceborne remote sensing systems such as Landsat (NAS, 1977). The Landsat series of satellites have provided essentially global data, relatively inexpensively and on a repetitive basis since 1972. Bangladesh has an intense need to increase the efficiency of national land use for food and fiber production. One action taken by the Government to address this problem was the formation of the Landsat Task Force composed of scientists and resource managers from several ministries. The purpose of the Task Force was to assess the applicability of and utilize satellite and other remote sensing technologies in Bangladesh. Preliminary investigations conducted by the Landsat Task Force produced promising results for winter rice crop identification, water course mapping, and forest inventory among others. Because of these initial successes the Government of Bangladesh has further developed its scientific and technical capabilities in satellite remote sensing. This study examined the ability of Landsat data to conduct an inventory of the winter rice crop in Bangladesh. Once the location and extent of current winter rice is adequately known, methods to increase the yield of this rice or locate new rice production areas can be pursued. 2 STUDY SITE AND CONDITIONS Bangladesh is composed largely of alluvial and deltaic terrain. The low surface relief, relatively fertile soils, and intense population pressures result in approximately 60 percent of the land being used for agricultural production, with rice being grown on over 70 percent of the cropped area. The climate is tropical, with monsoonal rains in late spring, summer and early fall. Winter, however, is dry and cool, and only a few areas where there are natural depressions which were flooded in late fall, or where irrigation is practiced, are suitable for rice growing. In an effort to increase the production of the winter or boro rice crop, the Government has encouraged additional irrigation by supplying the necessary water pumps. For management and planning purposes, the Government would like to know the effect of this program. This information has proved either difficult to obtain or of questionable accuracy because of the poorly developed infrastructure associated with agricultural statistics reporting. This project examined techniques using Landsat data to provide information on both the location and extent of boro rice. The study site selected for this analysis was approximately 8500 square kilometers located east of the capital of Dhaka. This area is along the Meghna River and included parts of Buidya Bazar Thana, Rubgonj Thana and the Dhaka-Narayangonj- Demra Agricultural Project. This study area was selected because it; 1) was an area of known boro rice production both in large contiguous blocks and small individual fields, 2) was suitable for expansion of boro rice production, 3) had excellent proximity to Dhaka for field work and A) had available agricultural statistical information by administrative units, unions, within the Thanas (Chaudhury, 1978). A crop calender was constructed for the boro rice by discussions with agricultural officers and farmers within the study area. From those discussions, it was determined that the boro rice seedlings are raised in seedbeds in November, transplanted to the main fields in December and January and harvested in April or May, prior to the monsoon. The latter part of March is the time of maximum green vegetative cover by the boro rice. Other winter crops such as Rabi vegetables

Access restriction

Copyright

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

Multivolume work

Volume

Chapter

Chapter

Table of contents

Cite and reuse

Volume

Chapter

Image

Image fragment

Citation links

Citation recommendation