Results 111 to 120 of about 12,562 (250)

Harnessing the benefits of herbarium specimen digitisation for inferring recent and ongoing plant extinctions

open access: yesNew Phytologist, EarlyView.
Summary Evidence for the ongoing biodiversity crisis rests on assessment of a small fraction of described species, with major knowledge gaps for most organisms, including plants. Here, we highlight how digitised herbarium specimens can be used to accelerate and improve estimates of recent and ongoing plant extinctions.
Aelys M. Humphreys   +4 more
wiley   +1 more source

Canine Leishmaniasis in Rio de Janeiro, Brazil (2000–2015): Taxonomic Characterisation of Etiological Agents and Geospatial Case Analysis

open access: yesZoonoses and Public Health, EarlyView.
ABSTRACT Introduction Canine Leishmaniasis is a vector‐borne zoonotic disease caused by several species of protozoa of the genus Leishmania. In the state of Rio de Janeiro (RJ), Leishmania braziliensis is the most prevalent species causing tegumentary leishmaniasis (TL) and Leishmania infantum is the main causative agent of visceral leishmaniasis (VL).
Luciana de Freitas Campos Miranda   +10 more
wiley   +1 more source

Knowing the past for managing the present: A comparison between historical cartography and satellite images for the study of Rome's city centre [PDF]

open access: yes, 2013
The idea of this paper, develops from the consideration that, since the second half of the XXth century, urban planning of Italian historical centers seems constrained by the fear of compromising the architectures of the past.
Baiocchi, Valerio   +4 more
core  

Multiple ortho‐mosaicking software pipelines produce comparable imagery‐derived wheat phenotypes

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Unmanned aerial systems (UAS) equipped with multispectral and RGB sensors offer valuable data for monitoring crop health and assessing disease severity. However, the wide range of available photogrammetric software complicates software selection for high‐throughput plant phenotyping.
Sanju Shrestha   +3 more
wiley   +1 more source

Application of a direct georeferencing method of drone images for smart farming

open access: yesagricultural engineering.eu
In smart farming, information collected by autonomous devices needs to be related to its exact field location, that is, georeferenced. In this work, we study the applicability and accuracy of a simplified direct georeferencing method of drone images for
Ralph L. Stoop   +3 more
doaj   +1 more source

Hampton-Seabrook Estuary Restoration Compendium [PDF]

open access: yes, 2008
The Hampton-Seabrook Estuary Habitat Restoration Compendium (HSEHRC) is a compilation of information on the historic and current distributions of salt marsh and sand dune habitats and diadromous fishes within the Hampton-Seabrook Estuary watershed. These
Burdick, David M., Eberhardt, Alyson L.
core   +2 more sources

Mechanisms of Surface Meltwater Ponding and Drainage on the Greenland Ice Sheet Revealed Using SkySat Imagery and Deep Learning

open access: yesAGU Advances, Volume 7, Issue 2, April 2026.
Abstract Surface meltwater impacts Greenland Ice Sheet mass balance indirectly by reducing albedo and promoting hydrofracture. However, fully understanding both processes requires accurate mapping of small‐scale features such as ponds, channels, and moulins that govern meltwater formation and drainage. Here we investigate surface water dynamics at high
J. C. Ryan, R. T. Datta, S. W. Cooley
wiley   +1 more source

MSUO Information Technology and Geographical Information Systems: Common Protocols & Procedures. Report to the Marine Safety Umbrella Operation [PDF]

open access: yes, 2006
The Marine Safety Umbrella Operation (MSUO) facilitates the cooperation between Interreg funded Marine Safety Projects and maritime stakeholders.
Coveney, S., O’Neill, N., Pasquali, R.
core  

Impacts of variable‐rate potassium fertilization on corn and soybean yield and soil‐test variability

open access: yesAgronomy Journal, Volume 118, Issue 2, March/April 2026.
Abstract Variable‐rate (VR) technology allows for changing nutrient rates within fields. This study compared VR and uniform‐rate (UR) potassium (K) fertilization for corn (Zea mays L.)–soybean [Glycine max (L.) Merr.] rotations. Grid soil‐sampling (0.1–0.3 ha cells), global positioning systems (GPS), and yield monitors were used to establish multiyear ...
Agustin Pagani   +2 more
wiley   +1 more source

Estimating the botanical composition of bahiagrass–rhizoma peanut pastures using aerial multispectral imagery and deep learning

open access: yesCrop Science, Volume 66, Issue 2, March/April 2026.
Abstract Estimating the botanical composition in mixed pastures is challenging due to resource‐intensive sampling methods overlooking grassland spatial variability. We aimed to (I) classify bahiagrass (Paspalum notatum Flügge) and rhizoma peanut (Arachis glabrata Benth.) in grass–legume pastures using aerial multispectral imagery and machine learning, (
Igor L. Bretas   +8 more
wiley   +1 more source

Home - About - Disclaimer - Privacy