| Autor: |
Nautiyal, Sunil, Kaechele, Harald, Tikhile, Pavan, Subbanna, Sruthi, Baksi, Sangeeta |
| Zdroj: |
Earth Systems and Environment; December 2017, Vol. 1 Issue: 2 p1-13, 13p |
| Abstrakt: |
Studies on dynamics of land use change still rely on survey questionnaires to collect the data. This study was undertaken to explore the possibility of an appropriate method for estimating land use land cover (LULC) changes for temporal periods for which there is no direct evidence of change spatially explicit. The hypothesis of this study is that the data on land use generated by official records, empirical field studies, and analysis of satellite imagery resemble with each other. However, in case of inconsistencies the aim of the present study was to identify a scientific and effective method for obtaining precise data on land use dynamics as part of developing appropriate strategies for a sustainable land use management. The land use information on taluk (block) level was collected from the official records. A questionnaire-based survey was done for collecting household data on land use during the period 2014–2016. Furthermore, satellite data were analysed for land use change estimation. In this study, the conventional methods as well as advanced techniques have been used for estimating crop area at various spatial scales. Per pixel classification techniques were used for generating thematic maps from raster data sets. Data collected from GPS were converted into a shape file for generating a signature file for classification of satellite data sets. While generating thematic maps, the maximum likelihood and parallelepiped classification methods were used. The inconsistencies were found between land use data obtained from field studies/official records and the data obtained from analysis of remote-sensing imagery. The satellite data outputs are validated using ground-truth data. Various accuracy assessment metrics such as overall accuracy and kappa coefficient (Khat) are computed from the validation procedure. The overall accuracy and Khatof the generated thematic maps on LULC are found to be ranging from 79 to 84% and 0.76 to 0.83 for various points of time. However, data obtained from official records and results obtained through questionnaire-based survey could not be cross-checked for an accuracy assessment as the physical conditions of land significantly differ year by year. An overall spatial and temporal assessment of land use data, using only a questionnaire-based survey, is not scientifically appropriate. Therefore, this study advocates a trans-disciplinary research in social science based on the convergence of social science and space science and technology. |
| Databáze: |
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