ESTIMATING TREE HEIGHT USING LOW-COST UAV

˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences, Journal Year: 2023, Volume and Issue: XLVIII-M-1-2023, P. 381 - 386

Published: April 21, 2023

Abstract. Precision agriculture (PA) is defined as an agricultural management based on the observation, measurement, and response of a set quantitative qualitative variables that affects production. The first step in approach to precision is, therefore, acquisition collection data from optical, multispectral, geophysical sensors, etc. aimed at obtaining knowledge monitoring crop. In recent years UAVs are assuming important role agriculture. possibility mounting RGB, LiDAR sensors them make these systems fast, accurate, usability compared other geomatic methods. this study, we focus very low-cost UAV system assess individual tree height generate 3D Model orthophoto study area. We used DJI Mini2, can be without flight rating restrictions due its light weight only 250 grams. case where survey was performed area about 1 hectare, some fruit trees small vineyard. selected because it contained both tall trees. concerned influence relative altitude therefore GSD images extraction dimensional From results obtained, stated has certainly more measurement (around one meter tall) ones 4 m).

Language: Английский

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UAV survey mapping of illegal deforestation in Madagascar

Plants People Planet, Journal Year: 2024, Volume and Issue: 6(6), P. 1413 - 1424

Published: Aug. 7, 2024

Societal Impact Statement Unmanned aerial vehicle (UAV) imagery highlights the extent of illegal deforestation in protected areas for biodiverse humid forest central Madagascar. The ultra‐high‐resolution (<10‐cm pixel) images enable creation detailed 3D base maps and provide means to quantify stand losses. To help communities safeguard their forests, local non‐governmental organisations can use UAV combination with weekly alerts facilitate an immediate on‐ground response that significantly restricts activity. Integrating mapping coarse‐resolution freely available satellite should have much wider applications Madagascar tropics community‐based conservation. Summary This study Ambohimahamasina shows small UAVs offer a pixel), rapid cost‐effective solution patterns not visible imagery. Calculating volume are valuable ways rapidly assess losses prioritise ground patrols. 3‐dimensional measurements above carbon estimates indicate how, future, these metrics could be used calculate payments conservation programs. By combining free imagery, effective alert system has been developed supports community initiatives protection natural resources. wealth data collected this provides insights into dynamics, management, potential measure value forest.

Language: Английский

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High-Temporal-Resolution Forest Growth Monitoring Based on Segmented 3D Canopy Surface from UAV Aerial Photogrammetry

Drones, Journal Year: 2022, Volume and Issue: 6(7), P. 158 - 158

Published: June 26, 2022

Traditional forest monitoring has been mainly performed with images or orthoimages from aircraft satellites. In recent years, the availability of high-resolution 3D data made it possible to obtain accurate information on canopy size, which topic growth timely. this paper, pattern was studied based a point cloud (PC) reconstructed UAV aerial photogrammetry at daily interval for year. Growth curves were acquired area (3DA) calculated triangulated mesh. Methods coverage (CA), rate, and leaf index (LAI) proposed tested. Three spectral vegetation indices, excess green (ExG), combination indices (COM), an red union (ExGUExR) used segmentation trees. The results showed that (1) areas extracted by ExGUExR more complete than those other two indices; (2) logistic fitting 3DA CA yielded S-shaped curves, all correlation R2 > 0.92; (3) represented accurately curves. Measurement errors applicability are discussed. summary, method successfully annual trend description.

Language: Английский

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Modelling some stand parameters using Landsat 8 OLI and Sentinel-2 satellite images by machine learning techniques: a case study in Türkiye

Geocarto International, Journal Year: 2022, Volume and Issue: 38(1)

Published: Dec. 15, 2022

Remote sensing technologies have been extensively used in forest management predicting stand parameters. The goal of this study is to use Landsat 8 and Sentinel-2 satellite images estimate volume, basal area, number trees, mean diameter, top height. 180 temporary sample plots were taken pure Crimean pine stands with varied structure. Reflectance, vegetation indices, eight texture values generated from images. parameters modelled the remotely sensed data using multiple linear regression, support vector machine, deep learning techniques. results showed that machine technique provided highest level model performance 45° orientation for trees (R2 = 0.98, RMSE%=5.97) 90° area (R2=0.91, RMSE%=15.22). indicated presented better than reflectance indices estimating

Language: Английский

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Evaluating post-fire recovery of Latroon dry forest using Landsat ETM+, unmanned aerial vehicle and field survey data

Journal of Arid Environments, Journal Year: 2021, Volume and Issue: 193, P. 104587 - 104587

Published: July 5, 2021

Language: Английский

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