H Astola, T Häme, L Sirro, M Molinier, J Kilpi - Remote Sensing of …, 2019 - Elsevier
We compared the performance of Sentinel-2 and Landsat 8 data for forest variable prediction in the boreal forest of Southern Finland. We defined twelve modelling setups to …
Forest biomass is one of the key measurement for carbon budget accounting, carbon flux monitoring, and climate change studies. Hence, it is essential to develop a credible …
Forest resource information has a hierarchical structure: individual tree attributes are summed at the plot level and then in turn, plot-level estimates are used to derive stand or …
Forest biomass is an important parameter for assessing the status of forest ecosystems. In the present study, forest biomass was assessed by integrating remotely-sensed satellite …
Citizen Science (CS) and crowdsourcing are two potentially valuable sources of data for Earth Observation (EO), which have yet to be fully exploited. Research in this area has …
M Perevochtchikova, LO Almeida Leñero… - Gestión y política …, 2022 - scielo.org.mx
En el presente trabajo se plantea la revisión sistemática de la literatura científica sobre el monitoreo participativo (MP) en México con el fin de entender sus dimensiones y utilidad …
In this paper, we demonstrate the feasibility of using the Microsoft Kinect and Google Tango frame-based depth sensors for individual tree stem measurements and reconstruction for the …
X Li, J Long, M Zhang, Z Liu, H Lin - Remote Sensing, 2021 - mdpi.com
Spatial distribution prediction of growing stock volume (GSV) for supporting the sustainable management of forest ecosystems, is one of the most widespread applications of remote …
Understanding how non-material benefits from ecosystems, known as cultural services, are shaped by non-native biota is paramount to manage biological invasions and achieve the …