Using satellite images to calculate land use and land cover statistics
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1 Using satellite images to calculate land use and land cover statistics National Administrative Department of Statistics DANE Colombia April /DANEColombia /DANEColombia
2 Background (1)
3 Objective Explore the usefulness of Big Data from satellite land images for the updating and improvement of statistic information. To assess the feasibility of applying remote sensing methods for the estimation of land consumption rate, and Geographic Information Systems (GIS) based spatial analysis for the calculation of the relationship between land consumption and population growth in metropolitan areas Indicator ODS 68.
4 Methodology Changes detection Data collection and pre-procesi ng Population data collection Satellite images collection Image pre-proces sing Image classification Edition rules Accuracy assessment Change detection matrix Rates calculation Indicator calculation Population growth rate Urban land consumptio n rate Ratio of the rates
5 Imagery collection Criteria: Availability Quality (percentage of cloud cover) Acquisitions at the same time of the year Spatial coverage Similar spectral bands Landsat Landsat 2010 Landsat 2015
6 Imagery pre-processing Original 2005 Image Pre-processed image
7 Coverages generation with object-oriented classification Coverages generation Rules and operators definition Semantic net
8 Coverage map Coverage map Map Legend Wate r Urban/Built - Up Grassland Barren/Minimal Vegetation Forest, Shrub and Scrubland
9 Accuracy assessment Accuracy assessment Percentage of accuracy ,5 91,4 86,8 Determination of the sample size Distribution of the random sample of points Use of image as reference classes and assignation of a class for each point Check with automatic visual classification Accuracy estimation
10 Approach to the Land Consumption Rate (ULCR) 7,6% 5,6%
11 Approach to the Population Growth Rate (PGR) 7,3% 6,7% * *Population projections *
12 Proposed Indicator I= I=0.84
13 Moving forward The Global Partnership for Sustainable Development Data (GPSDD) is collaborating with the project and providing technical support, using its pool of experts to replicate the gains in other countries and SDG indicators.. World Population data -WorldPop Google Earth Engine platform MODIS and Landsat images
14 Moving forward Datos: - Versión alfa de número de personas por pixel (100 m x 100 m) estimados para los años 2010, 2015 y Total nacional ajustado a la División de Población de Naciones Unidas: ( y restante no ajustado.
15 Moving forward
16 Comments Big Data from satellite imagery is a powerful tool to increase the potential applications of statistics and to improve the quality of statistics data. This integration allows the exploration of new methodologies and the improvement of those already available. The benefits generated by the use of remote sensing, create the opportunity to make the information more traceable and allow the design of different types of multitemporal studies. This project is a good example for the use of open source software and satellite images, which are both available on the web for free.
17 @DANE_Colombia /DANEColombia /DANEColombia
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