This dataset is provided as public record of the data used in the paper 'UAV Photogrammetry-Based Leaf Area Index for Above-Ground Biomass Estimation in Wetlands' published in  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. It also inclide the R script. The .xlsx file includes all the info about the dataset.

This dataset is provided as public record of the data used in the paper 'UAV Photogrammetry-Based Leaf Area Index for Above-Ground Biomass Estimation in Wetlands' published in  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. It also inclide the R script. The .xlsx file includes all the info about the dataset.

Main data used for the scientific paper entitled: "Leaf area index and above-ground biomass estimation of an alpine peatland with a UAV multi-sensor approach"."Danta_dem_10cm_px.tif": orthomosaic-derived DEM"Danta_rgb_2.2cm_px.tif": ortophoto "GPS points": list of GPS samples points"Main data": field vegetation data and indexes used for the regressions"Raw PointCloud". Lidar original dataset"Pre-processed PointCloud": Lidar dataset after pre-processing (see paper's methods) "DTM_DantaGround_grid50cm_minimo": Output (TIFF); the LiDAR-derived DTM showed in the paper"LAI": Output (Shapefile); the LiDAR-derived LAI showed in the paper.

Main data used for the scientific paper entitled: "Leaf area index and above-ground biomass estimation of an alpine peatland with a UAV multi-sensor approach"."Danta_dem_10cm_px.tif": orthomosaic-derived DEM"Danta_rgb_2.2cm_px.tif": ortophoto "GPS points": list of GPS samples points"Main data": field vegetation data and indexes used for the regressions"Raw PointCloud". Lidar original dataset"Pre-processed PointCloud": Lidar dataset after pre-processing (see paper's methods) "DTM_DantaGround_grid50cm_minimo": Output (TIFF); the LiDAR-derived DTM showed in the paper"LAI": Output (Shapefile); the LiDAR-derived LAI showed in the paper.

Dataset for the study "Dune belt restoration effectiveness assessed by UAV topographic surveys (northern Adriatic coast, Italy)" Faelga, R.A., Cantelli, L., Silvestri, S., Giambastiani, B.M.S., 2023Data information:DTMvalidation_script_RAF.py - script of the validation between DTM vs GPS elevation data*CSV_2021_data folder - contains the .csv files of the GPS profiles. This is the input for the validation scriptDoD_thresholded (.tif, .ovr, .xml) - raster data of the 2016 vs 2021 DEM comparisonveg_cover_data.zip - contains the shapefiles for the vegetation cover analysis. 4.1. 2016_cover.shp + extension files - 2016 cover per 1 m x 1 m grid 4.2. 2021_cover.shp + extension files - 2021 cover per 1 m x 1 m grid 4.3. transects_cover.shp + extension files - transects used in the studyDue to file size restriction, orthophotos cannot be uploaded here. For inquiries, please email [email protected] cite content from this repository: Faelga, R. A., Cantelli, L., Silvestri, S., and Giambastiani, B. M. S.: Dataset for the study 'Dune belt restoration effectiveness assessed by UAV topographic surveys (northern Adriatic coast, Italy), v1.0.0, Zenodo [data set and code], https://doi.org/10.5281/zenodo.10253228, 2023.*Acknowledgement extended to Matteo Corvi for the assistance in refining the Python script.

Dataset for the study "Dune belt restoration effectiveness assessed by UAV topographic surveys (northern Adriatic coast, Italy)" Faelga, R.A., Cantelli, L., Silvestri, S., Giambastiani, B.M.S., 2023Data information:DTMvalidation_script_RAF.py - script of the validation between DTM vs GPS elevation data*CSV_2021_data folder - contains the .csv files of the GPS profiles. This is the input for the validation scriptDoD_thresholded (.tif, .ovr, .xml) - raster data of the 2016 vs 2021 DEM comparisonveg_cover_data.zip - contains the shapefiles for the vegetation cover analysis. 4.1. 2016_cover.shp + extension files - 2016 cover per 1 m x 1 m grid 4.2. 2021_cover.shp + extension files - 2021 cover per 1 m x 1 m grid 4.3. transects_cover.shp + extension files - transects used in the studyDue to file size restriction, orthophotos cannot be uploaded here. For inquiries, please email [email protected] cite content from this repository: Faelga, R. A., Cantelli, L., Silvestri, S., and Giambastiani, B. M. S.: Dataset for the study 'Dune belt restoration effectiveness assessed by UAV topographic surveys (northern Adriatic coast, Italy), v1.0.0, Zenodo [data set and code], https://doi.org/10.5281/zenodo.10253228, 2023.*Acknowledgement extended to Matteo Corvi for the assistance in refining the Python script.