Luis Carrasco

ORCID: 0000-0003-4283-7725
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About
Contact & Profiles
Research Areas
  • Ecology and Vegetation Dynamics Studies
  • Species Distribution and Climate Change
  • Remote Sensing in Agriculture
  • Wildlife Ecology and Conservation
  • Remote Sensing and LiDAR Applications
  • Land Use and Ecosystem Services
  • Plant and animal studies
  • Avian ecology and behavior
  • Global Public Health Policies and Epidemiology
  • Vector-Borne Animal Diseases
  • Viral Infections and Vectors
  • Animal Disease Management and Epidemiology
  • Health Systems, Economic Evaluations, Quality of Life
  • Forest ecology and management
  • Fire effects on ecosystems
  • Conservation, Biodiversity, and Resource Management
  • Remote-Sensing Image Classification
  • Research Data Management Practices
  • Biotechnology and Related Fields
  • Genetics, Bioinformatics, and Biomedical Research
  • Animal Behavior and Reproduction
  • Horticultural and Viticultural Research
  • Oil Palm Production and Sustainability
  • Peatlands and Wetlands Ecology
  • Remote Sensing and Land Use

National Institute for Mathematical and Biological Synthesis
2019-2023

University of Tennessee at Knoxville
2019-2023

Descartes Labs (United States)
2022

The University of Tokyo
2022

UK Centre for Ecology & Hydrology
2017-2019

University of Tsukuba
2014-2015

Centro Jambatu de Investigación y Conservación de Anfibios
2015

Land cover mapping of large areas is challenging due to the significant volume satellite data acquire and process, as well lack spatial continuity cloud cover. Temporal aggregation—the use metrics (i.e., mean or median) derived from over a period time—is an approach that benefits recent increases in frequency free acquisition cloud-computing power. This enables efficient multi-temporal exploitation cloud-gap filling techniques for land mapping. Here, we provide first formal comparison...

10.3390/rs11030288 article EN cc-by Remote Sensing 2019-02-01

Abstract The measurement of forest structure has evolved steadily due to advances in technology, methodology, and theory. Such have greatly increased our capacity describe key structural elements resulted a range approaches from traditional analog tools such as tapes highly derived computationally intensive methods advanced remote sensing (e.g., lidar, radar). This assortment results metrics unique each method, with the caveat that may be biased or constrained by approach taken. While...

10.1002/ecs2.4633 article EN cc-by Ecosphere 2023-09-01

This dataset consists of the vector version Land Cover Map 2015 (LCM2015) for Great Britain. The data set is core LCM from which full range other LCM2015 products derived. It provides a number attributes including land cover at target class level (given as an integer value and also text), pixels within polygon classified each type probability provided by classification algorithm (for details see Dataset Documentation). 21 classes are based on Joint Nature Conservation Committee (JNCC) Broad...

10.5285/6c6c9203-7333-4d96-88ab-78925e7a4e73 article EN 2017-01-01

The structural heterogeneity of vegetation is a key factor for explaining animal diversity patterns at local scale. Improvements in airborne light detection and ranging (lidar) technologies have enabled researchers to study forest 3D structure with increasing accuracy. Most structure–animal work has focused on metrics derived from lidar returns canopy terrain features. Here, we built new based the Leaf Area Density (LAD) each height layer, used these how different aspects explain variation...

10.3390/rs11070743 article EN cc-by Remote Sensing 2019-03-27

Monitoring the expansion of commodity crops in tropics is crucial to safeguard forests for biodiversity and ecosystem services. Oil palm (Elaeis guineensis) one such crop that a major driver deforestation Southeast Asia. We evaluated use semi-automated approach with random forest as classifier combined optical radar datasets classify oil land-cover 2015 Sumatra, Indonesia, using Google Earth Engine. compared our map two existing remotely-sensed products utilized visual approaches same year....

10.3390/rs12071220 article EN cc-by Remote Sensing 2020-04-10

Abstract Climate adaptation strategies are being developed and implemented to protect biodiversity from the impacts of climate change. A well‐established strategy involves identification addition new areas for conservation, most countries agreed in 2010 expand global protected area (PA) network 17% by 2020 (Aichi Biodiversity Target 11). Although great efforts PA have been made, potential newly established PAs conserve under future change remains unclear at scale. Here, we conducted first...

10.1111/gcb.15511 article EN Global Change Biology 2021-02-11

Mapping vegetation species is critical to facilitate related quantitative assessment, and mapping invasive plants important enhance monitoring management activities. Integrating high-resolution multispectral remote-sensing (RS) images lidar (light detection ranging) point clouds can provide robust features for mapping. However, using multiple sources of RS data on a large spatial scale be both computationally sampling intensive. Here, we designed two-step classification workflow potentially...

10.3390/rs12040609 article EN cc-by Remote Sensing 2020-02-12

Manakins (Pipridae) are well know for elaborate male sexual displays and ornate plumage coloration, both of which thought to have evolved as a consequence lekking breeding, the prevalent mating system in family. Less attention has been paid handful ‘drab’ manakin species, dimorphism appears be reduced or absent. Using character reconstruction, we show that these ‘exceptions rule’ represent phylogenetically independent cases losses dimorphism, such could provide focal group investigate link...

10.1111/jav.00545 article EN Journal of Avian Biology 2015-02-19

Peatlands are important reserves of terrestrial carbon and biodiversity, given that many peatlands across the UK Europe exist in a degraded state, their conservation is major area concern focus considerable research. Aerial surveys valuable tools for habitat mapping provide useful insights into condition. We investigate how SfM photogrammetry-derived topography classes may be used to construct an estimate loss from erosion features remote blanket bog habitat. An autonomous, unmanned, aerial,...

10.1177/0309133319841300 article EN Progress in Physical Geography Earth and Environment 2019-04-01

Habitat selection in avian species is a hierarchical process driven by different factors acting at multiple scales. preferences and site fidelity are two main affecting how colonial birds choose their breeding locations. Although these affect habitats, previous studies have only focused on one factor time to explain the distribution of regional Here we used 28 yr colony location data herons egrets around Ibaraki prefecture Japan order analyze relative importance habitat for selecting We...

10.1111/jav.01255 article EN Journal of Avian Biology 2017-02-02

The Banded Ground-cuckoo (Neomorphus radiolosus) is a rare, endangered, and poorly known species endemic to the Chocó Biogeographic Zone. We summarize 7 months of data from radio tracking an adult in northwestern Ecuador. Home range estimates were 42.2 ha (minimum convex polygon) 49.9 (95% kernel analysis); core area was 3.4 (50% analysis). bird favored undisturbed habitat avoided secondary forest. It primarily insectivorous rarely associated with army ants (Eciton sp.) not mammals. Breeding...

10.1676/06-176.1 article EN The Wilson Journal of Ornithology 2008-02-28

Abstract About 70% of the world's main crops depend on insect pollination. Climate change is already affecting abundance and distribution insects, which could cause geographical mismatches between their pollinators. Crops that rely primarily wild pollinators (e.g., cannot be effectively pollinated by commercial colonies honey bees) particularly in jeopardy. However, limited information plant–pollinator associations pollinator distributions complicate assessment climate impacts specific...

10.1002/eap.2259 article EN Ecological Applications 2020-11-12

Abstract Birds are useful indicators of overall biodiversity, which continues to decline globally, despite targets reduce its loss. The aim this paper is understand the importance different spatial drivers for modelling bird distributions. Specifically, it assesses satellite‐derived measures habitat productivity, heterogeneity and landscape structure diversity across Great Britain. Random forest (RF) regression used assess extent a combination covariates explain woodland farmland richness....

10.1002/rse2.322 article EN cc-by Remote Sensing in Ecology and Conservation 2022-12-24

Abstract Understanding the spatial scales at which environmental factors drive species richness patterns is a major challenge in ecology. Due to trade‐off between grain and extent, studies tend focus on single scale, effects of multiple variables operating across pattern local have rarely been investigated. Here, we related variation ground beetles, landbirds small mammals vegetation structure topography, regional climate, biome diversity glaciation history for 27 sites USA two different...

10.1111/1365-2656.13752 article EN Journal of Animal Ecology 2022-05-31

Carrasco, L.; Vera, P.; Belda, E.J., and Monrós, J.S., 2018. Combining remote sensing field mapping methods to study the vegetation dynamics within a coastal wetland determine habitat effects of threatened bird species (Emberiza schoeniclus witherbyi).Coastal wetlands are highly dynamic changing ecosystems because meteorology, wildlife interactions human activities. They one world's most ecosystems, threats them drive specialist unfavorable conservation status population trends. Therefore,...

10.2112/jcoastres-d-16-00194.1 article EN Journal of Coastal Research 2017-07-14

Control of emerging animal diseases critically depends on their early detection. However, designing surveillance programs for exotic and is very challenging because knowledge gaps the probability incursion mechanisms spread. Using example Bluetongue Virus, which to UK, we develop a metapopulation epidemic-economic modelling framework that considers incursion, detection, spread control disease in livestock production system composed heterogeneous subpopulations. The model then embedded an...

10.22004/ag.econ.61817 preprint EN RePEc: Research Papers in Economics 2010-01-01

Mapping vegetation species is critical to facilitate related quantitative assessment, and for invasive plants mapping their distribution important enhance monitoring controlling activities. Integrating high resolution multispectral remote sensing (RS) image lidar (light detection ranging) point clouds can provide robust features mapping. However, using multiple source of high-resolution RS data at large spatial scale be both computationally sampling intensive. Here we designed a two-step...

10.20944/preprints201912.0418.v1 preprint EN 2019-12-31
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