Lightweight unmanned aerial vehicles will revolutionize spatial ecology

K Anderson, KJ Gaston - Frontiers in Ecology and the …, 2013 - Wiley Online Library
Ecologists require spatially explicit data to relate structure to function. To date, heavy
reliance has been placed on obtaining such data from remote‐sensing instruments mounted …

Towards smart irrigation: A literature review on the use of geospatial technologies and machine learning in the management of water resources in arboriculture

Y Ahansal, M Bouziani, R Yaagoubi, I Sebari, K Sebari… - Agronomy, 2022 - mdpi.com
Agriculture consumes an important ratio of the water reserve in irrigated areas. The
improvement of irrigation is becoming essential to reduce this high water consumption by …

Overview and current status of remote sensing applications based on unmanned aerial vehicles (UAVs)

G Pajares - Photogrammetric Engineering & Remote Sensing, 2015 - ingentaconnect.com
Remotely Piloted Aircraft (RPA) is presently in continuous development at a rapid pace.
Unmanned Aerial Vehicles (UAVs) or more extensively Unmanned Aerial Systems (UAS) …

Estimating biomass of barley using crop surface models (CSMs) derived from UAV-based RGB imaging

J Bendig, A Bolten, S Bennertz, J Broscheit, S Eichfuss… - Remote sensing, 2014 - mdpi.com
Crop monitoring is important in precision agriculture. Estimating above-ground biomass
helps to monitor crop vitality and to predict yield. In this study, we estimated fresh and dry …

Yield estimation in cotton using UAV-based multi-sensor imagery

A Feng, J Zhou, ED Vories, KA Sudduth… - Biosystems Engineering, 2020 - Elsevier
Highlights•Site-specific cotton yield estimation was conducted.•The performance of multiple
image sensors were evaluated.•Data were registered based on image features.•Methods …

[HTML][HTML] Unmanned aerial vehicle (UAV) for monitoring soil erosion in Morocco

S d'Oleire-Oltmanns, I Marzolff, KD Peter, JB Ries - Remote sensing, 2012 - mdpi.com
This article presents an environmental remote sensing application using a UAV that is
specifically aimed at reducing the data gap between field scale and satellite scale in soil …

[HTML][HTML] Small drones for community-based forest monitoring: An assessment of their feasibility and potential in tropical areas

J Paneque-Gálvez, MK McCall, BM Napoletano… - Forests, 2014 - mdpi.com
Data gathered through community-based forest monitoring (CBFM) programs may be as
accurate as those gathered by professional scientists, but acquired at a much lower cost and …

Multispectral remote sensing from unmanned aircraft: Image processing workflows and applications for rangeland environments

AS Laliberte, MA Goforth, CM Steele, A Rango - Remote Sensing, 2011 - mdpi.com
Using unmanned aircraft systems (UAS) as remote sensing platforms offers the unique
ability for repeated deployment for acquisition of high temporal resolution data at very high …

Improved estimation of aboveground biomass in wheat from RGB imagery and point cloud data acquired with a low-cost unmanned aerial vehicle system

N Lu, J Zhou, Z Han, D Li, Q Cao, X Yao, Y Tian, Y Zhu… - Plant Methods, 2019 - Springer
Background Aboveground biomass (AGB) is a widely used agronomic parameter for
characterizing crop growth status and predicting grain yield. The rapid and accurate …

Evaluation of RGB, color-infrared and multispectral images acquired from unmanned aerial systems for the estimation of nitrogen accumulation in rice

H Zheng, T Cheng, D Li, X Zhou, X Yao, Y Tian, W Cao… - Remote Sensing, 2018 - mdpi.com
Unmanned aerial system (UAS)-based remote sensing is one promising technique for
precision crop management, but few studies have reported the applications of such systems …