AnisoVeg: anisotropy and nadir-normalized MODIS multi-angle implementation atmospheric correction (MAIAC) datasets for satellite vegetation studies in South America

Dalagnol, Ricardo; Galvão, Lênio Soares; Wagner, Fabien Hubert; de Moura, Yhasmin Mendes; Gonçalves, Nathan; Wang, Yujie; Lyapustin, Alexei; Yang, Yan; Saatchi, Sassan; Aragão, Luiz Eduardo Oliveira Cruz

doi:https://doi.org/10.5194/essd-15-345-2023

Articles | Volume 15, issue 1

https://doi.org/10.5194/essd-15-345-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-15-345-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 1

Data description paper

|

19 Jan 2023

Data description paper |

| 19 Jan 2023

AnisoVeg: anisotropy and nadir-normalized MODIS multi-angle implementation atmospheric correction (MAIAC) datasets for satellite vegetation studies in South America

Ricardo Dalagnol, Lênio Soares Galvão, Fabien Hubert Wagner, Yhasmin Mendes de Moura, Nathan Gonçalves, Yujie Wang, Alexei Lyapustin, Yan Yang, Sassan Saatchi, and Luiz Eduardo Oliveira Cruz Aragão

Data sets

AnisoVeg: Anisotropy and Nadir-normalized MODIS MAIAC datasets for satellite vegetation studies in South America Ricardo Dalagnol, Lênio Soares Galvão, Fabien Hubert Wagner, Yhasmin Mendes de Moura, Nathan Gonçalves, Yujie Wang, Alexei Lyapustin, Yan Yang, Sassan Saatchi, and Luiz Eduardo Oliveira e Cruz de Aragão https://doi.org/10.5281/zenodo.3878879

Back scattering data of AnisoVeg: Anisotropy and Nadir-normalized MODIS MAIAC datasets for satellite vegetation studies in South America Ricardo Dalagnol https://doi.org/10.5281/zenodo.6040300

Forward scattering data of AnisoVeg: Anisotropy and Nadir-normalized MODIS MAIAC datasets for satellite vegetation studies in South America Ricardo Dalagnol https://doi.org/10.5281/zenodo.6048785

Model code and software

maiac_processing: Script and functions to process daily MODIS MAIAC data to BRDF-corrected 16-day and monthly mosaic composites, (Version 1.0) R. Dalagnol and F. H. Wagner https://doi.org/10.5281/zenodo.6561350

samapriya/geeup: geeup: Simple CLI for Earth Engine Uploads (0.5.8) Samapriya Roy https://doi.org/10.5281/zenodo.7047124

Short summary

The AnisoVeg dataset brings 22 years of monthly satellite data from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor for South America at 1 km resolution aimed at vegetation applications. It has nadir-normalized data, which is the most traditional approach to correct satellite data but also unique anisotropy data with strong biophysical meaning, explaining 55 % of Amazon forest height. We expect this dataset to help large-scale estimates of vegetation biomass and carbon.