Results 131 to 140 of about 7,082,475 (293)

Time Series Extrinsic Regression for Smart Agriculture: Field‐Level Crop Yield Prediction From Multisource Agricultural Time Series

Quality and Reliability Engineering International, EarlyView.
ABSTRACT The growing availability of temporal data in agriculture has created new opportunities for data‐driven decision support systems aimed at improving the efficiency, sustainability, and adaptability of agricultural systems. Remote sensing platforms, weather‐related datasets, and field‐management records provide information on crop development and
Amalia Vanacore, Armando Ciardiello, Gennaro Pio Auricchio, Luigi Uccello, Annalisa Izzo   +4 more
wiley   +1 more source

Multispectral UAV-Based Disease Identification Using Vegetation Indices for Maize Hybrids

Agriculture
In the future, the cultivation of maize will become more and more prominent. As the world’s demand for food and animal feeding increases, remote sensing technologies (RS technologies), especially unmanned aerial vehicles (UAVs), are developing more and ...
László Radócz, Csaba Juhász, András Tamás, Árpád Illés, Péter Ragán, László Radócz   +5 more
doaj   +1 more source

Identification of initial vegetation and habitat changes in small temperate fens using remote sensing

Remote Sensing in Ecology and Conservation, EarlyView.
Temperate fens with only incipient, subtle signs of deterioration can be reliably identified using Sentinel‐2 and aerial imagery, which sensitively detect early productivity‐related structural changes. Abstract Small temperate fens rank among the most endangered habitats in temperate Europe.
Lubomír Tichý, Patricia Singh, Petra Hájková, Anna Müllerová, Tomáš Peterka, Zuzana Plesková, Karel Prach, Adéla Široká, Kamila Vítovcová, Michal Hájek   +9 more
wiley   +1 more source

Use of different vegetation indices for the evaluation of the kinetics of the cherry tomato (Solanum lycopersicum var. cerasiforme) growth based on multispectral images by UAV

Open Agriculture
This study evaluated seven vegetation indices for the monitoring of a cherry tomato crop using an unmanned aerial vehicle with a multispectral camera that measures in the green, red, and near-infrared spectral bands.
Chávez-Martínez Osiris, Monjardin-Armenta Sergio Alberto, Rangel-Peraza Jesús Gabriel, Sanhouse-García Antonio Jesus, Mora-Felix Zuriel Dathan, Plata-Rocha Wenseslao   +5 more
doaj   +1 more source

Scale dependence in remotely sensed biodiversity: Leveraging continental‐scale imaging spectroscopy from the National Ecological Observatory Network

Remote Sensing in Ecology and Conservation, EarlyView.
Imaging spectroscopy enables large‐scale biodiversity assessment, yet spectral diversity metrics are scale dependent. Across 15 NEON ecosystems, we find that spectral richness increases sub‐linearly from 3600 m2 to 4 km2, whereas spectral divergence shows weak or inconsistent scaling with area, underscoring the importance of scale‐aware interpretation ...
Meghan T. Hayden, Matthew W. Rossi, Laura E. Dee, Kyle Kovach, Cibele H. Amaral, Jacob Nesslage, Madeline Slimp, Rachel S. Meyer, E. Natasha Stavros   +8 more
wiley   +1 more source

Evaluation of Normalized Difference Vegetation Index (NDVI) in 2017 According to the Analysis of Space Imagery Sentinel-2 in Sevastopol

, 2019
In this article the spatial distribution of the values of Normalized Difference Vegetation Index (NDVI) on the territory of Sevastopol in 2017 was determined and underutilized lands in agriculture on the territory of Sevastopol in 2017 was identified ...
Табунщик, В. А., Даниленко, А. А., Горбунов, Р. В.   +2 more
core  

Classification of tree species and standing dead trees in Boreal forests using UAV‐based RGB, multispectral, and LiDAR point clouds

Remote Sensing in Ecology and Conservation, EarlyView.
We evaluated single‐ and multi‐sensor UAV approaches for classifying tree species and standing dead trees in boreal forests, focusing on key biodiversity indicators such as European aspen. Using spectral and structural features extracted from RGB, multispectral (MSP), and LiDAR point clouds for 1,205 field‐measured trees, we compared classification ...
Anton Kuzmin, Lauri Korhonen, Topi Tanhuanpää, Mikko Kukkonen, Matti Maltamo, Timo Kumpula   +5 more
wiley   +1 more source

Monitoring of Crustose Coralline Algae Using Low‐Altitude Unmanned Aerial Vehicles in Intertidal Reefs

Remote Sensing in Ecology and Conservation, EarlyView.
High‐resolution visible‐light imagery from low‐altitude unmanned aerial vehicles, combined with superpixel segmentation and a Random Forest classifier, provides an efficient and scalable framework for mapping and monitoring crustose coralline algae and reef habitats.
Po‐Chien Lin, Han‐Yang Yeh, Zhi‐Cheng Huang   +2 more
wiley   +1 more source

Project Geo-spatial Technology for Tracking Climate Variability and its Effects A case Study Lake Magadi and Environs, Kenya

African Journal on Land Policy and Geospatial Sciences
Contexte and Background: This study explores the impact of climate variability on environmental sustainability in Lake Magadi, Kenya, using geospatial technology.
Pauline Wamalwa, Elijah Kiarie, Paul Mwangi   +2 more
doaj   +1 more source

Climate‐Driven Mangrove Dieback and Recovery: A Case Study in Albert and Leichhardt Rivers, Australia

Remote Sensing in Ecology and Conservation, EarlyView.
Cycles of dieback and recovery drove mangrove forest dynamics at the Albert and Leichhardt Rivers (Gulf of Carpentaria, Queensland, Australia) over 36 years (1987–2023). Landward margins were the most affected by reduced tidal inundation when the alignment of low lunar declination suppressed tidal range and extreme El Niño phases lowered mean sea level.
Rogerio Victor S. Gonçalves, Emma Asbridge, Jeffrey J. Kelleway, Richard Lucas, Kerrylee Rogers   +4 more
wiley   +1 more source