Results 101 to 110 of about 5,868 (254)

Remote sensing of land surface phenology [PDF]

Fact Sheet, 2014
G.A. Meier, Jesslyn F. Brown
openaire   +1 more source

Land Surface Phenology in Global Change Studies

As of this writing, there are two global phenology products in the twentyfirst century at 500 m spatial resolution. Here we present a comparative analysis of the mid-green-up phenometric from these standard VIIRS and MODIS products for the year 2022. We evaluate the results by ecoregion and biome and report linear regression results to compare on the ...
Kirsten M. de Beurs, Erin Driscoll, Geoffrey M. Henebry   +2 more
openaire   +2 more sources

Land surface phenology for the characterization of Mediterranean permanent grasslands

Precision Agriculture
The provision of ecosystem services from Mediterranean permanent grasslands is threatened due to shifting management practices and environmental pressures. This observational study tested the hypothesis that Land Surface Phenology (LSP) parameters from high-resolution satellite data can characterize various permanent grasslands to support conservation ...
Alberto Tanda, Antonio Pulina, Simonetta Bagella, Giovanni Rivieccio, Giovanna Seddaiu, Francesco Vuolo, Pier Paolo Roggero   +6 more
openaire   +2 more sources

A multimodel intercomparison study of variable‐resolution global models with grid refinement over the Arctic and Antarctic

Quarterly Journal of the Royal Meteorological Society, EarlyView.
We document the protocol and first results from the first ever coordinated multimodel variable‐resolution experiment set with refinement over the polar regions. We find that the refinement generally yields model‐dependent effects. The most consistent improvement is an amelioration of the upper‐level cold bias in the polar regions that translates into ...
Lise Seland Graff, Dörthe Handorf, Raphael Köhler, Xavier Levine, René R. Wijngaard, Gareth J. Marshall, Alexey Yu. Karpechko, Ryan S. Williams, Priscilla A. Mooney   +8 more
wiley   +1 more source

Addressing Biases in Ice Jam Observations by Integrating Multi‐Source Data in a Forested Fluvial Landscape, Southern Quebec

River Research and Applications, EarlyView.
ABSTRACT Exhaustive long‐term and large‐scale ice jam records are scarce in most cold river environments. Many discrete events occur in small, sparsely populated river systems and are poorly represented in open‐source databases. These observation biases are transferred to predictive models of ice jams and the collective understanding of their formation
Lisane Arsenault‐Boucher, Étienne Boucher, Rachid Lhissou, Karem Chokmani, Christophe Kinnard   +4 more
wiley   +1 more source

Remote Sensing of Land Surface Phenology: Progress, Challenges, Prospects

The process of observing land surface phenology (or LSP) using remote sensing satellites is fundamentally different from ground level observation of phenophase transitions of specific organisms. The scale disparity between the spatial extent of the organisms and the spatial resolution of the sensor leads to an ill-defined mixture of targets and ...
Geoffrey M. Henebry, Kirsten M. de Beurs
openaire   +2 more sources

Wall‐to‐wall Amazon forest height mapping with Planet NICFI, Aerial LiDAR, and a U‐Net regression model

Remote Sensing in Ecology and Conservation, EarlyView.
Tree canopy height is a key indicator of forest biomass and structure, yet accurate mapping across the Amazon remains challenging. Here, we generated a canopy height map of the Amazon forest at ~4.8 m resolution using Planet NICFI imagery and a deep learning U‐Net model trained with airborne LiDAR data.
Fabien H. Wagner, Ricardo Dalagnol, Griffin Carter, Mayumi C. M. Hirye, Shivraj Gill, Le Bienfaiteur Sagang Takougoum, Samuel Favrichon, Michael Keller, Jean P. H. B. Ometto, Lorena Alves, Cynthia Creze, Stephanie P. George‐Chacon, Shuang Li, Zhihua Liu, Adugna Mullissa, Yan Yang, Erone G. Santos, Sarah R. Worden, Martin Brandt, Philippe Ciais, Stephen C. Hagen, Sassan Saatchi   +21 more
wiley   +1 more source

Using phenology to improve invasive plant detection in fine‐scale hyperspectral drone‐based images

Remote Sensing in Ecology and Conservation, EarlyView.
Using drone‐based hyperspectral images of mixed temperate successional forests collected over a growing season, detection algorithms were produced for three invasive species of interest, which are not only invasive in Virginia but also much of the U.S.: Ailanthus altissima (tree of heaven), Elaeagnus umbellata (autumn olive), and Rhamnus davurica ...
Kelsey S. Huelsman, Howard E. Epstein, Xi Yang, Roderick Walker   +3 more
wiley   +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

Land Surface Phenology for Africa - A Case of the Republic of Ghana

Journal of Geomatics
Understanding Earth’s surface phenology at different spatiotemporal scales is fundamental in evaluating the interaction between biogeographical distributions and climate dynamics. Despite remarkable achievements in remote sensing and Earth-observing technologies, there is a deficiency of African studies in land surface phenology (LSP). The article is a
Michael Stanley Peprah, Raymond Quardwo Awase, Abigail Odoom, Michael Angbang Mwin   +3 more
openaire   +1 more source