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2020 – today
- 2024
[j6]Arun Gyawali, Hari Adhikari
, Mika Aalto, Tapio Ranta:
From simple linear regression to machine learning methods: Canopy cover modelling of a young forest using planet data. Ecol. Informatics 82: 102706 (2024)- 2021
- [j5]Zhipeng Tang, Hari Adhikari, Petri K. E. Pellikka, Janne Heiskanen:
A method for predicting large-area missing observations in Landsat time series using spectral-temporal metrics. Int. J. Appl. Earth Obs. Geoinformation 99: 102319 (2021) - 2020
- [j4]Shankar Tripathi, Rajan Subedi, Hari Adhikari:
Forest Cover Change Pattern after the Intervention of Community Forestry Management System in the Mid-Hill of Nepal: A Case Study. Remote. Sens. 12(17): 2756 (2020) - [c1]Zhipeng Tang, Hari Adhikari, Petri K. E. Pellikka, Janne Heiskanen:
Producing a Gap-free Landsat Time Series for the Taita Hills, Southeastern Kenya. IGARSS 2020: 1319-1322
2010 – 2019
- 2019
- [j3]Janne Heiskanen, Hari Adhikari, Rami Piiroinen, Petteri Packalen, Petri K. E. Pellikka:
Do airborne laser scanning biomass prediction models benefit from Landsat time series, hyperspectral data or forest classification in tropical mosaic landscapes? Int. J. Appl. Earth Obs. Geoinformation 81: 176-185 (2019) - 2017
- [j2]Hari Adhikari, Janne Heiskanen, Mika Siljander, Eduardo Maeda, Vuokko Heikinheimo, Petri K. E. Pellikka:
Determinants of Aboveground Biomass across an Afromontane Landscape Mosaic in Kenya. Remote. Sens. 9(8): 827 (2017) - 2016
- [j1]Hari Adhikari, Janne Heiskanen, Eduardo Eiji Maeda, Petri Pellikka:
The effect of topographic normalization on fractional tree cover mapping in tropical mountains: An assessment based on seasonal Landsat time series. Int. J. Appl. Earth Obs. Geoinformation 52: 20-31 (2016)
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