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Image:Newworldmap-alt.png – Version of Image:BlankMap-World-alt.png, but with bodies of water coloured blue and white land masses. 1488 x 755. Image:BlankMap-World-v2.png – Version of Image:BlankMap-World.png , but with sovereign microstates (i.e., under 2 500 km² in area) represented as circles to facilitate identification and colourising.
Peninsular Malaysia makes up 132,090 square kilometres (51,000 sq mi), [1] or almost 40% of the country's land area, while East Malaysia covers 198,847 square kilometres (76,780 sq mi), or 60%. From the total land area, 1,200 square kilometres (460 sq mi) or 0.37% is made up of water such as lakes, rivers, or other internal waters.
The biological monitoring working party (BMWP) is a procedure for measuring water quality using families of macroinvertebrates as biological indicators. [1]The method is based on the principle that different aquatic invertebrates have different tolerances to pollutants.
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McFeeters index: If looking for water bodies or change in water level (e.g. flooding), then it is advisable to use the green and NIR spectral bands [18] or green and SWIR spectral bands. Modification of normalised difference water index (MNDWI) has been suggested for improved detection of open water by replacing NIR spectral band with SWIR. [19]
The topographic wetness index (TWI), also known as the compound topographic index (CTI), is a steady state wetness index. It is commonly used to quantify topographic control on hydrological processes. [1] The index is a function of both the slope and the upstream contributing area per unit width orthogonal to the flow direction.
A supervised classification is a system of classification in which the user builds a series of randomly generated training datasets or spectral signatures representing different land-use and land-cover (LULC) classes and applies these datasets in machine learning models to predict and spatially classify LULC patterns and evaluate classification accuracies.
Water quality modeling helps people understand the eminence of water quality issues and models provide evidence for policy makers to make decisions in order to properly mitigate water. [1] Water quality modeling also helps determine correlations to constituent sources and water quality along with identifying information gaps. [2] Due to the ...