Results 71 to 80 of about 97,221 (318)

Cutting Through the Green: A Case for Grassland Archaeology Using UAV Multispectral Data

open access: yesArchaeological Prospection, EarlyView.
ABSTRACT Advances in low‐altitude remote sensing are needed to improve the effectiveness of archaeological prospection in the Netherlands. The geomorphological situation and land use history make applying various remote sensing and geophysical technologies particularly challenging.
Roeland Emaus
wiley   +1 more source

Applicability of the Normalized Difference Vegetation Index (NDVI) in Index-Based Crop Insurance Design [PDF]

open access: yesWeather, Climate, and Society, 2011
Abstract Index insurance is becoming increasingly popular because of its ability to provide low-cost, relatively easy to implement agricultural insurance for vegetation types whose productivity has been notoriously difficult to measure and to farmers in less-developed nations where traditional crop insurance schemes are not reasonable to
Megan K. McLaurin, Calum G. Turvey
openaire   +1 more source

Spatial metrics in fire ecology: seeking consistency amidst complexity

open access: yesBiological Reviews, EarlyView.
ABSTRACT Technological advances, including remote sensing, have led to a proliferation of metrics used in ecological studies to examine spatial patterns of fire regimes and their ecological effects. Researchers can use many different metrics to analyse spatial variation in both fire events and resulting fire regimes, including fire size, shape ...
Alexander R. Carey   +5 more
wiley   +1 more source

Agronomic characteristics associated with the normalized difference vegetation index (NDVI) in the peanut crop

open access: yesAustralian Journal of Crop Science, 2016
Advances in agricultural technology have led to the development of active remote sensing equipment that can potentially estimate components of crop production; however, this assessment is still in its early stages for the peanut crop. The objective of this study was to evaluate the normalized difference vegetation index (NDVI) generated by a ...
Zerbato, Cristiano   +4 more
openaire   +2 more sources

Detecting Vegetation Recovery after Fire in A Fire-Frequented Habitat Using Normalized Difference Vegetation Index (NDVI)

open access: yesForests, 2020
Research Highlights: Fire-frequented savannas are dominated by plant species that regrow quickly following fires that mainly burn through the understory. To detect post-fire vegetation recovery in these ecosystems, particularly during warm, rainy seasons,
D. Lacouture, E. Broadbent, R. Crandall
semanticscholar   +1 more source

Vegetation on the move: elevational shifts and greening dynamics across the Himalayan alpine zone

open access: yesEcography, EarlyView.
This study investigates alpine ‘vegetation line' (the upper limit of continuous plant community) dynamics in the Himalayan alpine zone (HAZ) over a 24‐year timescale (1999–2022) using maximum NDVI products derived from Landsat series datasets, adjusted for sampling bias using phenological modelling.
Ruolin Leng   +5 more
wiley   +1 more source

Temporal Variation in Vegetation Indexes for Pine and Beech Stands During the Vegetation Season, Szczecin Lowland, Poland

open access: yesQuaestiones Geographicae, 2014
Located in north-western Poland, the Bukowska Forest and Goleniowska Forest are vast woodlands consisting of areas with a homogeneous species composition that have been scarcely affected by humans.
Piekarski Paweł, Zwoliński Zbigniew
doaj   +1 more source

Klímaváltozás szempontú, multispektrális monitoring mezőgazdasági- és erdőterületeken [PDF]

open access: yes, 2016
In this study a new remote sensing indexes was introduced. They were calculated from the Terra satellite's MODIS sensor surface reflectance data using visible red, near-infrared and short-wave-infrared spectral bands. The following spectral indices were
Gulácsi, A., Kovács, Ferenc
core   +1 more source

Contributions of natural and human factors to increases in vegetation productivity in China [PDF]

open access: yes, 2015
Increasing trends in vegetation productivity have been identified for the last three decades for many regions in the northern hemisphere including China.
Xiao, Jingfeng, Zhang, Li, Zhou, Yu
core   +2 more sources

Harnessing the power of machine and deep learning for transferring joint species distribution models considering the structure of biotic interactions

open access: yesEcography, EarlyView.
The transferability of single or joint species distribution models ((j)SDMs) depends on their ability to predict beyond the observed environmental range and to remain consistent despite shifts in biotic interactions. Transfer accuracy may be improved by recent advances in the application of deep learning that provide greater flexibility and potentially
Marco Basile   +44 more
wiley   +1 more source

Home - About - Disclaimer - Privacy