Gherardo Chirici
Orcid: 0000-0002-0669-5726
According to our database1,
Gherardo Chirici
authored at least 28 papers
between 2003 and 2023.
Collaborative distances:
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Bibliography
2023
Comput. Electron. Agric., July, 2023
Reusing Remote Sensing-Based Validation Data: Comparing Direct and Indirect Approaches for Afforestation Monitoring.
Remote. Sens., March, 2023
GEDI4R: an R package for NASA's GEDI level 4 A data downloading, processing and visualization.
Earth Sci. Informatics, March, 2023
Estimating Afforestation Area Using Landsat Time Series and Photointerpreted Datasets.
Remote. Sens., February, 2023
Large-scale high-resolution yearly modeling of forest growing stock volume and above-ground carbon pool.
Environ. Model. Softw., 2023
2022
Integrating GEDI and Landsat: Spaceborne Lidar and Four Decades of Optical Imagery for the Analysis of Forest Disturbances and Biomass Changes in Italy.
Sensors, 2022
Environ. Model. Softw., 2022
An open science and open data approach for the statistically robust estimation of forest disturbance areas.
Int. J. Appl. Earth Obs. Geoinformation, 2022
2021
Sensors, 2021
The Effect of Forest Mask Quality in the Wall-to-Wall Estimation of Growing Stock Volume.
Remote. Sens., 2021
The TreeTalkersCheck R package: An automatic daily routine to check physiological traits of trees in the forest.
Ecol. Informatics, 2021
2020
Global Airborne Laser Scanning Data Providers Database (GlobALS) - A New Tool for Monitoring Ecosystems and Biodiversity.
Remote. Sens., 2020
The Use of Remotely Sensed Data and Polish NFI Plots for Prediction of Growing Stock Volume Using Different Predictive Methods.
Remote. Sens., 2020
A New Method for Automated Clearcut Disturbance Detection in Mediterranean Coppice Forests Using Landsat Time Series.
Remote. Sens., 2020
Species dominance and above ground biomass in the Białowieża Forest, Poland, described by airborne hyperspectral and lidar data.
Int. J. Appl. Earth Obs. Geoinformation, 2020
Wall-to-wall spatial prediction of growing stock volume based on Italian National Forest Inventory plots and remotely sensed data.
Int. J. Appl. Earth Obs. Geoinformation, 2020
2019
A climate-sensitive forest model for assessing impacts of forest management in Europe.
Environ. Model. Softw., 2019
2018
UAV Remote Sensing for Biodiversity Monitoring: Are Forest Canopy Gaps Good Covariates?
Remote. Sens., 2018
Mapping uncertainty of ICP-Forest biodiversity data: From standard treatment of diffusion to density-equalizing cartograms.
Ecol. Informatics, 2018
Exploiting the capabilities of the Sentinel-2 multi spectral instrument for predicting growing stock volume in forest ecosystems.
Int. J. Appl. Earth Obs. Geoinformation, 2018
2017
Biomass Estimation of Xerophytic Forests Using Visible Aerial Imagery: Contrasting Single-Tree and Area-Based Approaches.
Remote. Sens., 2017
Int. J. Appl. Earth Obs. Geoinformation, 2017
2014
Combination of optical and LiDAR satellite imagery with forest inventory data to improve wall-to-wall assessment of growing stock in Italy.
Int. J. Appl. Earth Obs. Geoinformation, 2014
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
2013
Airborne laser scanning of forest resources: An overview of research in Italy as a commentary case study.
Int. J. Appl. Earth Obs. Geoinformation, 2013
Stochastic gradient boosting classification trees for forest fuel types mapping through airborne laser scanning and IRS LISS-III imagery.
Int. J. Appl. Earth Obs. Geoinformation, 2013
2009
Evaluating the Effects of Environmental Changes on the Gross Primary Production of Italian Forests.
Remote. Sens., 2009
2003
LaDy: software for assessing local landscape diversity profiles of raster land cover maps using geographic windows.
Environ. Model. Softw., 2003