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Phenological Observations on Classical Prehistoric Sites in the Middle and Lower Reaches of the Yellow River Based on Landsat NDVI Time Series
- Source :
- Remote Sensing; Volume 9; Issue 4; Pages: 374, Remote Sensing, Vol 9, Iss 4, p 374 (2017)
- Publication Year :
- 2017
- Publisher :
- Multidisciplinary Digital Publishing Institute, 2017.
-
Abstract
- Buried archeological features show up as crop marks that are mostly visible using high-resolution image data. Such data are costly and restricted to small regions and time domains. However, a time series of freely available medium resolution imagery can be employed to detect crop growth changes to reveal subtle surface marks in large areas. This paper aims to study the classical Chinese settlements of Taosi and Erlitou over large areas using Landsat NDVI time series crop phenology to determine the optimum periods for detection and monitoring of crop anomalies. Burial areas (such as the palace area and the sacrificial area) were selected as the research area while the surrounding empty fields with a low density of ancient features were used as reference regions. Landsat NDVI covering two years’ growth periods of wheat and maize were computed and analyzed using Pearson’s correlation coefficient and Euclidean distance. Similarities or disparities between the burial areas and their empty areas were computed using the Hausdorff distance. Based on the phenology of crop growth, the time series NDVI images of winter wheat and summer maize were generated to analyze crop anomalies in the archeological sites. Results show that the Hausdorff distance was high during the critical stages of water for both crops and that the images of high Hausdorff distance can provide more obvious subsurface archeological information.
- Subjects :
- large prehistoric sites
010504 meteorology & atmospheric sciences
Correlation coefficient
Science
0211 other engineering and technologies
Landsat NDVI
02 engineering and technology
01 natural sciences
Normalized Difference Vegetation Index
Crop
Prehistory
time series
Hausdorff distance
crops phenology
021101 geological & geomatics engineering
0105 earth and related environmental sciences
Remote sensing
Series (stratigraphy)
Phenology
Euclidean distance
General Earth and Planetary Sciences
Physical geography
Geology
Subjects
Details
- Language :
- English
- ISSN :
- 20724292
- Database :
- OpenAIRE
- Journal :
- Remote Sensing; Volume 9; Issue 4; Pages: 374
- Accession number :
- edsair.doi.dedup.....5a09100453b2267f38a2f57721dd6cd7
- Full Text :
- https://doi.org/10.3390/rs9040374