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Inventory and mapping of flood inundation using interactive digital image analysis techniques

Canadian Journal of Remote Sensing
By: , and 

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Abstract

LANDSAT digital data and color infra-red photographs were used in a multiphase sampling scheme to estimate the area of agricultural land affected by a flood. The LANDSAT data were classified with a maximum likelihood algorithm. Stratification of the LANDSAT data, prior to classification, greatly reduced misclassification errors. The classification results were used to prepare a map overlay showing the areal extent of flooding. These data also provided statistics required to estimate sample size in a two phase sampling scheme, and provided quick, accurate estimates of areas flooded for the first phase. The measurements made in the second phase, based on ground data and photo-interpretation, were used with two phase sampling statistics to estimate the area of agricultural land affected by flooding These results show that LANDSAT digital data can be used to prepare map overlays showing the extent of flooding on agricultural land and, with two phase sampling procedures, can provide acreage estimates with sampling errors of about 5 percent. This procedure provides a technique for rapidly assessing the areal extent of flood conditions on agricultural land and would provide a basis for designing a sampling framework to estimate the impact of flooding on crop production.

Additional publication details

Publication type Article
Publication Subtype Journal Article
Title Inventory and mapping of flood inundation using interactive digital image analysis techniques
Series title Canadian Journal of Remote Sensing
Volume 5
Issue 1
Year Published 1979
Language English
Publisher Canadian Aeronautics and Space Institute
Publisher location Ottawa, Canada
Contributing office(s) Earth Resources Observation and Science (EROS) Center
Description 10 p.
First page 43
Last page 52