Results 1 to 10 of about 103 (66)

Global Estimation of Biophysical Variables from Google Earth Engine Platform

Remote Sensing, 2018
This paper proposes a processing chain for the derivation of global Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fraction Vegetation Cover (FVC), and Canopy water content (CWC) maps from 15-years of MODIS data ...
Francisco Javier García Haro, Manuel Campos-Taberner, Steven Running   +2 more
exaly   +3 more sources

Study on the Spatial and Temporal Evolution of Regional Green Space Morphology Outside Built-Up Areas based on the Google Earth Engine and Biophysical Component Modeling

Land, 2023
The spatial pattern of regional green space is an important dimension to describe and quantitatively express the characteristics of regional green spaces outside the built-up area of a city.
Gu Xinchen
exaly   +3 more sources

Leveraging machine learning for analyzing the nexus between land use and land cover change, land surface temperature and biophysical indices in an eco-sensitive region of Brahmani-Dwarka interfluve

Results in Engineering
This present study aims to evaluate land use and land cover changes using five machine-learning algorithms in Google Earth Engine. The performance of these machine learning algorithms was evaluated using user accuracy, producer accuracy, overall accuracy,
Bhaskar Mandal
exaly   +3 more sources

MODELING AND FORECASTING CUMULATIVE EVI ANOMALIES USING SARIMA FOR BIOPHYSICAL MONITORING: A CASE STUDY IN THE PHILIPPINES [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021
Understanding changes in vegetation cover that affect the biophysical conditions of a region can help in formulating policies to address current and future problems of terrestrial ecosystems such as deforestation and environmental degradation. This study
A. J. L. Diccion, J. Z. Duran
doaj   +1 more source

Antarctic biological soil crusts surface reflectance patterns from landsat and sentinel-2 images [PDF]

Anais da Academia Brasileira de Ciências, 2022
The remote sensing techniques must be used to obtain long-term information in remote areas, like the Antarctic continent, to monitor the environmental productivity and its changes.
ELIANA L. FONSECA, EDVAN C. DOS SANTOS, ANDERSON R. DE FIGUEIREDO, JEFFERSON C. SIMÕES   +3 more
doaj   +1 more source

Seasonality of Biophysical Parameters in Extreme Years of Precipitation in Pernambuco: Relations, Regionalities, and Variability

Atmosphere, 2023
This study analyzed the seasonality of biophysical parameters in the extreme years of precipitation and the relationship with the monthly precipitation of the state of Pernambuco at the regional level (Pernambuco) and homogeneous precipitation zones ...
Alan Cézar Bezerra, Jhon Lennon Bezerra da Silva, Douglas Alberto de Oliveira Silva, Cristina Rodrigues Nascimento, Eberson Pessoa Ribeiro, Josiclêda Domiciano Galvincio, Marcos Vinícius da Silva, Henrique Fonseca Elias de Oliveira, Márcio Mesquita, José Francisco de Oliveira-Júnior, Alexsandro Claudio dos Santos Almeida, Pabrício Marcos Oliveira Lopes, Geber Barbosa de Albuquerque Moura   +12 more
doaj   +1 more source

Designing profitable and climate-smart farms using virtual reality.

PLoS ONE, 2023
Many pastoral farmers are searching for ways to lower the carbon emission footprint that is generated by livestock. Planting trees on the farm is currently a popular option for farmers to offset their emissions yet requires knowledge of suitable tree ...
Remy Lasseur, Seth Laurenson, Mohsin Ali, Ian Loh, Mike Mackay   +4 more
doaj   +2 more sources

A Time-Series Approach to Detect Urbanized Areas Using Biophysical Indicators and Landsat Satellite Imagery

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Detecting spatiotemporal dynamics of urbanization is essential to study the patterns and processes of urban ecosystems. However, urban areas are difficult to classify, and migrating static classification algorithms to dynamic detection is also ...
Yang Zhang
doaj   +1 more source

Regional Crop Characterization Using Multi-Temporal Optical and Synthetic Aperture Radar Earth Observations Data

Canadian Journal of Remote Sensing, 2022
Crop biophysical parameters, such as Leaf Area Index (LAI) and biomass, are essential for estimating crop productivity, yield modeling, and agronomic management. This study used several features extracted from multi-temporal Sentinel-1 Synthetic Aperture
Hazhir Bahrami, Saeid Homayouni, Heather McNairn, Mehdi Hosseini, Masoud Mahdianpari   +4 more
doaj   +1 more source

Identifying Suitable Watersheds across Nigeria Using Biophysical Parameters and Machine Learning Algorithms for Agri–Planning

ISPRS International Journal of Geo-Information, 2022
Identifying suitable watersheds is a prerequisite to operationalizing planning interventions for agricultural development. With the help of geospatial tools, this paper identified suitable watersheds across Nigeria using biophysical parameters to aid ...
Pranay Panjala, Murali Krishna Gumma, Hakeem Ayinde Ajeigbe, Murtala Muhammad Badamasi, Kumara Charyulu Deevi, Ramadjita Tabo   +5 more
doaj   +1 more source