Study of Temporal Behaviour of Homogeneity Maps …
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References
1. Deshpande PJ, Sure A, Dikshit O, Tripathi S (2019) A framework for estimating representative
area of a ground sample using remote sensing. Int Arch Photogramm Remote Sens Spat Inf Sci
XLII-2/W13:687–692. https://doi.org/10.5194/isprs-archives-XLII-2-W13-687-2019
2. Gupta S, Karumanchi SH, Dash SK, Adla S, Tripathi S, Sinha R, Paul D, Sen IS (2019)
Monitoring ecosystem health in India’s food basket. Eos 100. https://doi.org/10.1029/2019EO
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3. Gorelick N, Hancher M, Dixon M, Ilyushchenko S, Thau D, Moore R (2017) Google earth
engine: planetary-scale geospatial analysis for everyone. Remote Sens Environ 202:18–27.
https://doi.org/10.1016/j.rse.2017.06.031
4. Pedregosa F, Varoquaux G, Gramfort A, Michel V, Thirion B, Grisel O, Blondel M, Prettenhofer
P (2011) Scikit-learn: machine learning in Python. J Mach Learn Res 12:2825–2830
99
References
1. Deshpande PJ, Sure A, Dikshit O, Tripathi S (2019) A framework for estimating representative
area of a ground sample using remote sensing. Int Arch Photogramm Remote Sens Spat Inf Sci
XLII-2/W13:687–692. https://doi.org/10.5194/isprs-archives-XLII-2-W13-687-2019
2. Gupta S, Karumanchi SH, Dash SK, Adla S, Tripathi S, Sinha R, Paul D, Sen IS (2019)
Monitoring ecosystem health in India’s food basket. Eos 100. https://doi.org/10.1029/2019EO
117683
3. Gorelick N, Hancher M, Dixon M, Ilyushchenko S, Thau D, Moore R (2017) Google earth
engine: planetary-scale geospatial analysis for everyone. Remote Sens Environ 202:18–27.
https://doi.org/10.1016/j.rse.2017.06.031
4. Pedregosa F, Varoquaux G, Gramfort A, Michel V, Thirion B, Grisel O, Blondel M, Prettenhofer
P (2011) Scikit-learn: machine learning in Python. J Mach Learn Res 12:2825–2830