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[HTML][HTML] Forestry remote sensing from unmanned aerial vehicles: A review focusing on the data, processing and potentialities
Currently, climate change poses a global threat, which may compromise the sustainability of
agriculture, forestry and other land surface systems. In a changing world scenario, the …
agriculture, forestry and other land surface systems. In a changing world scenario, the …
Geospatial technology in agroforestry: status, prospects, and constraints
Agroforestry has an indispensable role in food and livelihood security in addition to its
capacity to combat the detrimental effects of climate change. However, agroforestry has not …
capacity to combat the detrimental effects of climate change. However, agroforestry has not …
Vineyard classification using OBIA on UAV-based RGB and multispectral data: A case study in different wine regions
Vineyard classification is an important process within viticulture-related decision-support
systems. Indeed, it improves grapevine vegetation detection, enabling both the assessment …
systems. Indeed, it improves grapevine vegetation detection, enabling both the assessment …
Predicting pasture biomass using a statistical model and machine learning algorithm implemented with remotely sensed imagery
Accurate daily estimates of pasture biomass can improve the profitability of pasture-based
dairy system by optimising input of feed supplements and pasture utilisation. However …
dairy system by optimising input of feed supplements and pasture utilisation. However …
[HTML][HTML] Monitoring of chestnut trees using machine learning techniques applied to UAV-based multispectral data
Phytosanitary conditions can hamper the normal development of trees and significantly
impact their yield. The phytosanitary condition of chestnut stands is usually evaluated by …
impact their yield. The phytosanitary condition of chestnut stands is usually evaluated by …
Combining Low-Cost UAV Imagery with Machine Learning Classifiers for Accurate Land Use/Land Cover Map**
Land use/land cover (LULC) is a fundamental concept of the Earth's system intimately
connected to many phases of the human and physical environment. LULC map**s has …
connected to many phases of the human and physical environment. LULC map**s has …
Policy forum: proposal of a Mexican precision agroforestry policy
O Montes, M Uribe, R Castro, C Villanueva… - Forest Policy and …, 2020 - Elsevier
Agroforestry is a multifunctional and climatically smart agriculture that combines high food
productivity with environmental protection according to the local sociocultural context, these …
productivity with environmental protection according to the local sociocultural context, these …
[HTML][HTML] Assessing the Impact of Clearing and Grazing on Fuel Management in a Mediterranean Oak Forest through Unmanned Aerial Vehicle Multispectral Data
Climate change has intensified the need for robust fire prevention strategies. Sustainable
forest fuel management is crucial in mitigating the occurrence and rapid spread of forest …
forest fuel management is crucial in mitigating the occurrence and rapid spread of forest …
Height estimation of pine (Pinus eldarica) single trees using slope corrected shadow length on unmanned aerial vehicle (UAV) imagery in a plantation forest
Tree height is one of the key parameters in forest plantations that plays a crucial role in
estimation of above-ground biomass (AGB) of trees and stands. The parameter may be …
estimation of above-ground biomass (AGB) of trees and stands. The parameter may be …
[HTML][HTML] Using Very-High-Resolution Multispectral Classification to Estimate Savanna Fractional Vegetation Components
Characterizing compositional and structural aspects of vegetation is critical to effectively
assessing land function. When priorities are placed on ecological integrity, remotely sensed …
assessing land function. When priorities are placed on ecological integrity, remotely sensed …