Optical vegetation indices for monitoring terrestrial ecosystems globally

Y Zeng, D Hao, A Huete, B Dechant, J Berry… - Nature Reviews Earth & …, 2022 - nature.com
Vegetation indices (VIs), which describe remotely sensed vegetation properties such as
photosynthetic activity and canopy structure, are widely used to study vegetation dynamics …

Drones: innovative technology for use in precision pest management

FH Iost Filho, WB Heldens, Z Kong… - Journal of economic …, 2020 - academic.oup.com
Arthropod pest outbreaks are unpredictable and not uniformly distributed within fields. Early
outbreak detection and treatment application are inherent to effective pest management …

Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley

J Bendig, K Yu, H Aasen, A Bolten, S Bennertz… - International Journal of …, 2015 - Elsevier
In this study we combined selected vegetation indices (VIs) and plant height information to
estimate biomass in a summer barley experiment. The VIs were calculated from ground …

The global distribution of leaf chlorophyll content

H Croft, JM Chen, R Wang, G Mo, S Luo, X Luo… - Remote Sensing of …, 2020 - Elsevier
Leaf chlorophyll is central to the exchange of carbon, water and energy between the
biosphere and the atmosphere, and to the functioning of terrestrial ecosystems. This paper …

Remote sensing for estimating and mapping single and basal crop coefficientes: A review on spectral vegetation indices approaches

I Pôças, A Calera, I Campos, M Cunha - Agricultural Water Management, 2020 - Elsevier
The advances achieved during the last 30 years demonstrate the aptitude of the remote
sensing-based vegetation indices (VI) for the assessment of crop evapotranspiration (ET c) …

Selection of hyperspectral narrowbands (HNBs) and composition of hyperspectral twoband vegetation indices (HVIs) for biophysical characterization and …

PS Thenkabail, I Mariotto, MK Gumma… - IEEE Journal of …, 2013 - ieeexplore.ieee.org
The overarching goal of this study was to establish optimal hyperspectral vegetation indices
(HVIs) and hyperspectral narrowbands (HNBs) that best characterize, classify, model, and …

Phenotyping for waterlogging tolerance in crops: current trends and future prospects

P Langan, V Bernád, J Walsh, J Henchy… - Journal of …, 2022 - academic.oup.com
Yield losses to waterlogging are expected to become an increasingly costly and frequent
issue in some regions of the world. Despite the extensive work that has been carried out …

Mapping tree species in tropical seasonal semi-deciduous forests with hyperspectral and multispectral data

MP Ferreira, M Zortea, DC Zanotta… - Remote Sensing of …, 2016 - Elsevier
Accurately mapping the spatial distribution of tree species in tropical environments provides
valuable insights for ecologists and forest managers. This process may play an important …

[HTML][HTML] Generating soil salinity, soil moisture, soil pH from satellite imagery and its analysis

MF Ghazali, K Wikantika, AB Harto, A Kondoh - Information Processing in …, 2020 - Elsevier
In an agricultural field, the water content and salt content are defined as soil moisture and
soil salinity and have to be estimated precisely. The changing of these two factors can be …

Evaluation of broadband and narrowband vegetation indices for the identification of archaeological crop marks

A Agapiou, DG Hadjimitsis, DD Alexakis - Remote sensing, 2012 - mdpi.com
Several studies in the past have examined the spectral capability of multispectral and
hyperspectral imagery for the identification of crop marks, while recent studies have applied …