Title
Mapping Agricultural Landuse Patterns from Time Series of Landsat 8 Using Random Forest Based Hierarchial Approach.
Abstract
Increase in irrigated area, driven by demand for more food production, in the semi-arid regions of Asia and Africa is putting pressure on the already strained available water resources. To cope and manage this situation, monitoring spatial and temporal dynamics of the irrigated area land use at basin level is needed to ensure proper allocation of water. Publicly available satellite data at high spatial resolution and advances in remote sensing techniques offer a viable opportunity. In this study, we developed a new approach using time series of Landsat 8 (L8) data and Random Forest (RF) machine learning algorithm by introducing a hierarchical post-processing scheme to extract key Land Use Land Cover (LULC) types. We implemented this approach for Mashhad basin in Iran to develop a LULC map at 15 m spatial resolution with nine classes for the crop year 2015/2016. In addition, five irrigated land use types were extracted for three crop years2013/2014, 2014/2015, and 2015/2016using the RF models. The total irrigated area was estimated at 1796.16 km(2), 1581.7 km(2) and 1578.26 km(2) for the cropping years 2013/2014, 2014/2015 and 2015/2016, respectively. The overall accuracy of the final LULC map was 87.2% with a kappa coefficient of 0.85. The methodology was implemented using open data and open source libraries. The ability of the RF models to extract key LULC types at basin level shows the usability of such approaches for operational near real time monitoring.
Year
DOI
Venue
2019
10.3390/rs11050601
REMOTE SENSING
Keywords
Field
DocType
irrigated area,Mashhad,agriculture,landuse,remote sensing,Random Forest,Landsat 8
Remote sensing,Cropping,Cohen's kappa,Agriculture,Geology,Random forest,Water resources,Irrigation,Structural basin,Land use
Journal
Volume
Issue
Citations 
11
5
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Sajid Pareeth1203.51
poolad karimi252.56
Mojtaba Shafiei300.34
Charlotte De Fraiture401.01