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Eduardo Eiji Maeda
Person information
- affiliation: University of Helsinki, Department of Environmental Sciences, Finland
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2020 – today
- 2024
- [j19]Rui Peng, Kai Yan
, Jinxiu Liu
Revisiting the consistency of MODIS LAI products from a new perspective of spatiotemporal variability. Int. J. Digit. Earth 17(1) (2024) - [j18]Hanna Elisabet Sorokina
East African megafauna influence on vegetation structure permeates from landscape to tree level scales. Ecol. Informatics 79: 102435 (2024) - 2023
- [j17]Jingrui Wang
Improving the Quality of MODIS LAI Products by Exploiting Spatiotemporal Correlation Information. IEEE Trans. Geosci. Remote. Sens. 61: 1-19 (2023) - 2021
- [j16]Jinxiu Liu, Eduardo Eiji Maeda
Sensitivity of Spectral Indices on Burned Area Detection using Landsat Time Series in Savannas of Southern Burkina Faso. Remote. Sens. 13(13): 2492 (2021) - [j15]Jinxiu Liu, Du Wang
Mapping Cropland Burned Area in Northeastern China by Integrating Landsat Time Series and Multi-Harmonic Model. Remote. Sens. 13(24): 5131 (2021) - 2020
- [j14]Filipe Lisboa
Spatial Variability and Detection Levels for Chlorophyll-a Estimates in High Latitude Lakes Using Landsat Imagery. Remote. Sens. 12(18): 2898 (2020)
2010 – 2019
- 2019
- [j13]Matti Mottus
Diurnal Changes in Leaf Photochemical Reflectance Index in Two Evergreen Forest Canopies. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(7): 2236-2243 (2019) - 2018
- [j12]Jinxiu Liu, Janne Heiskanen, Eduardo Eiji Maeda, Petri K. E. Pellikka:
Burned area detection based on Landsat time series in savannas of southern Burkina Faso. Int. J. Appl. Earth Obs. Geoinformation 64: 210-220 (2018) - [c2]Matti Mottus
Implications of Diurnal Changes in Leaf PRI on Remote Measurements of Light Use Efficiency. IGARSS 2018: 9007-9010 - 2017
- [j11]Binyam Tesfaw Hailu
Assessing spatial distribution of Coffea arabica L. in Ethiopia's highlands using species distribution models and geospatial analysis methods. Ecol. Informatics 42: 79-89 (2017) - [j10]Hari Adhikari
Determinants of Aboveground Biomass across an Afromontane Landscape Mosaic in Kenya. Remote. Sens. 9(8): 827 (2017) - [j9]Rami Piiroinen, Janne Heiskanen
Classification of Tree Species in a Diverse African Agroforestry Landscape Using Imaging Spectroscopy and Laser Scanning. Remote. Sens. 9(9): 875 (2017) - 2016
- [j8]Hari Adhikari
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) - [j7]Eduardo Eiji Maeda
Consistency of vegetation index seasonality across the Amazon rainforest. Int. J. Appl. Earth Obs. Geoinformation 52: 42-53 (2016) - [j6]Yhasmin Mendes de Moura
Scaling estimates of vegetation structure in Amazonian tropical forests using multi-angle MODIS observations. Int. J. Appl. Earth Obs. Geoinformation 52: 580-590 (2016) - [j5]Jinxiu Liu, Janne Heiskanen
Land Cover Characterization in West Sudanian Savannas Using Seasonal Features from Annual Landsat Time Series. Remote. Sens. 8(5): 365 (2016) - [j4]Arimatéa C. Ximenes
Spatial Assessment of the Bioclimatic and Environmental Factors Driving Mangrove Tree Species' Distribution along the Brazilian Coastline. Remote. Sens. 8(6): 451 (2016) - 2011
- [j3]Eduardo Eiji Maeda
Dynamic modeling of forest conversion: Simulation of past and future scenarios of rural activities expansion in the fringes of the Xingu National Park, Brazilian Amazon. Int. J. Appl. Earth Obs. Geoinformation 13(3): 435-446 (2011)
2000 – 2009
- 2009
- [j2]Emerson Vieira Marcelino, Antônio Roberto Formaggio, Eduardo Eiji Maeda
Landslide inventory using image fusion techniques in Brazil. Int. J. Appl. Earth Obs. Geoinformation 11(3): 181-191 (2009) - [j1]Eduardo Eiji Maeda
Predicting forest fire in the Brazilian Amazon using MODIS imagery and artificial neural networks. Int. J. Appl. Earth Obs. Geoinformation 11(4): 265-272 (2009) - [c1]Elizabeth Goltz, Gustavo F. B. Arcoverde, Daniel Alves Aguiar, Bernardo Rudorff, Eduardo Maeda
Data Mining by Decision Tree for Object Oriented Classification of the Sugar Cane Cut Kinds. IGARSS (5) 2009: 405-408
Coauthor Index
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