UB Paderborn / Katalog / Suche / in CDI

1 – 23 von 23

Sortiert nach

A QGIS Plugin for GIS-based Multicriteria Decision Analysis: an Application of Developing Alternative Future Land-Use Scenarios in Ghana

Applied spatial analysis and policy, 2024-06, Vol.17 (2), p.779-797

2024

Volltextzugriff (PDF)

Domain-Guided Machine Learning for Remotely Sensed In-Season Crop Growth Estimation

Remote sensing (Basel, Switzerland), 2021-11, Vol.13 (22), p.4605

2021

Volltextzugriff (PDF)

High-Resolution Inundation Mapping for Heterogeneous Land Covers with Synthetic Aperture Radar and Terrain Data

Remote sensing (Basel, Switzerland), 2020-03, Vol.12 (6), p.900

2020

Volltextzugriff (PDF)

Towards Understanding the Influence of Vertical Water Distribution on Radar Backscatter from Vegetation Using a Multi-Layer Water Cloud Model

Remote sensing (Basel, Switzerland), 2022-08, Vol.14 (16), p.3867

2022

Volltextzugriff (PDF)

A Structural Equation Modeling Approach to Disentangling Regional-Scale Landscape Dynamics in Ghana

Frontiers in environmental science, 2022-01, Vol.9

2022

Volltextzugriff (PDF)

Estimation of energy and moisture fluxes for dynamic vegetation using coupled SVAT and crop-growth models

Water resources research, 2008-07, Vol.44 (7), p.W07415-n/a

2008

Volltextzugriff (PDF)

PyLUSAT: An open-source Python toolkit for GIS-based land use suitability analysis

Environmental modelling & software : with environment data news, 2022-05, Vol.151, p.105362, Article 105362

2022

Volltextzugriff (PDF)

In‐season crop phenology using remote sensing and model‐guided machine learning

Agronomy journal, 2023-05, Vol.115 (3), p.1214-1236

2023

Volltextzugriff (PDF)

Extending Height Above Nearest Drainage to Model Multiple Fluvial Sources in Flood Inundation Mapping Applications for the U.S. National Water Model

Water resources research, 2023-05, Vol.59 (5), p.n/a

2023

Volltextzugriff (PDF)

Assessing the impact of climate variability on maize using simulation modeling under semi-arid environment of Punjab, Pakistan

Environmental science and pollution research international, 2018-10, Vol.25 (28), p.28413-28430

2018

Volltextzugriff (PDF)

Optimizing irrigation and nitrogen requirements for maize through empirical modeling in semi-arid environment

Environmental science and pollution research international, 2019-01, Vol.26 (2), p.1227-1237

2019

Volltextzugriff (PDF)

Soil moisture profile estimation under bare and vegetated soils using combined L-band and P-band radiometer observations: An incoherent modeling approach

Remote sensing of environment, 2024-06, Vol.307, p.114148, Article 114148

2024

Volltextzugriff (PDF)

Impact of vegetation water content information on soil moisture retrievals in agricultural regions: An analysis based on the SMAPVEX16-MicroWEX dataset

Remote sensing of environment, 2021-11, Vol.265, p.112623, Article 112623

2021

Volltextzugriff (PDF)

Dominant backscattering mechanisms at L-band during dynamic soil moisture conditions for sandy soils

Remote sensing of environment, 2016-06, Vol.178, p.104-112

2016

Volltextzugriff (PDF)

Modeling postharvest loss and water and energy use in Florida tomato operations

Postharvest biology and technology, 2019-07, Vol.153, p.61-68

2019

Volltextzugriff (PDF)

Yield Forecasting of Spring Maize Using Remote Sensing and Crop Modeling in Faisalabad-Punjab Pakistan

Journal of the Indian Society of Remote Sensing, 2018-10, Vol.46 (10), p.1701-1711

2018

Volltextzugriff (PDF)

Extension of an Existing Model for Soil Water Evaporation and Redistribution under High Water Content Conditions

Soil Science Society of America journal, 2009-05, Vol.73 (3), p.792-801

2009

Volltextzugriff (PDF)

Understanding Heat Transfer in the Shallow Subsurface Using Temperature Observations

Vadose zone journal, 2010-11, Vol.9 (4), p.1034-1045

2010

Volltextzugriff (PDF)

SMAP Soil Moisture Product Validity in Heterogeneous Irrigated Regions

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020, p.4719-4722

2020

Volltextzugriff (PDF)

Monitoring Vegetation Conditions Over Agricultural Regions Using Active Observations

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020, p.4351-4354

2020

Volltextzugriff (PDF)

Comparison of SMAP Retrieval Soil Moisture Level 2 Product with in Situ Measurements Over Corn Fields in Central Mexico

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020, p.4727-4730

2020

Volltextzugriff (PDF)

Calibration of a SVAT Model in the Central Zone of Mexico with In-Situ Data over a Corn Field Region

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020, p.5250-5253

2020

Volltextzugriff (PDF)

Understanding the Backscattering from Sentinel-1 Over a Growing Season of Corn in Central Mexico Using the Thexmex Datasets

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020, p.4526-4529

2020

Volltextzugriff (PDF)

1 – 23 von 23

Suche als RSS-Feed

Aktive Filter

ThemaLife Sciences & Biomedicine

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(18)
Mit Volltextzugriff
(23)

Publikationsform

Artikel
(18)
Tagungsberichte
(5)

Sprache

Englisch
(23)

Erscheinungsjahr

n.n

Thema

Science & Technology
(23)
Environmental Sciences & Ecology
(20)
Environmental Sciences
(19)
Remote Sensing
(13)
Technology
(13)
Physical Sciences
(12)
Agriculture
(10)
Geology
(8)
Geosciences, Multidisciplinary
(8)
Computer Science
(6)
Imaging Science & Photographic Technology
(6)
Soil Moisture
(6)
Computer Science, Artificial Intelligence
(5)
Moisture
(5)
Optics
(5)
Vegetation
(5)
Algorithms
(4)
Corn
(4)
Crop Yield
(4)

14 weitere anzeigen...

Weniger anzeigen...

Menü

Weitere Dienste

Einstellungen

A QGIS Plugin for GIS-based Multicriteria Decision Analysis: an Application of Developing Alternative Future Land-Use Scenarios in Ghana

Domain-Guided Machine Learning for Remotely Sensed In-Season Crop Growth Estimation

High-Resolution Inundation Mapping for Heterogeneous Land Covers with Synthetic Aperture Radar and Terrain Data

Towards Understanding the Influence of Vertical Water Distribution on Radar Backscatter from Vegetation Using a Multi-Layer Water Cloud Model

A Structural Equation Modeling Approach to Disentangling Regional-Scale Landscape Dynamics in Ghana

Estimation of energy and moisture fluxes for dynamic vegetation using coupled SVAT and crop-growth models

PyLUSAT: An open-source Python toolkit for GIS-based land use suitability analysis

In‐season crop phenology using remote sensing and model‐guided machine learning

Extending Height Above Nearest Drainage to Model Multiple Fluvial Sources in Flood Inundation Mapping Applications for the U.S. National Water Model

Assessing the impact of climate variability on maize using simulation modeling under semi-arid environment of Punjab, Pakistan

Optimizing irrigation and nitrogen requirements for maize through empirical modeling in semi-arid environment

Soil moisture profile estimation under bare and vegetated soils using combined L-band and P-band radiometer observations: An incoherent modeling approach

Impact of vegetation water content information on soil moisture retrievals in agricultural regions: An analysis based on the SMAPVEX16-MicroWEX dataset

Dominant backscattering mechanisms at L-band during dynamic soil moisture conditions for sandy soils

Modeling postharvest loss and water and energy use in Florida tomato operations

Yield Forecasting of Spring Maize Using Remote Sensing and Crop Modeling in Faisalabad-Punjab Pakistan

Extension of an Existing Model for Soil Water Evaporation and Redistribution under High Water Content Conditions

Understanding Heat Transfer in the Shallow Subsurface Using Temperature Observations

SMAP Soil Moisture Product Validity in Heterogeneous Irrigated Regions

Monitoring Vegetation Conditions Over Agricultural Regions Using Active Observations

Comparison of SMAP Retrieval Soil Moisture Level 2 Product with in Situ Measurements Over Corn Fields in Central Mexico

Calibration of a SVAT Model in the Central Zone of Mexico with In-Situ Data over a Corn Field Region

Understanding the Backscattering from Sentinel-1 Over a Growing Season of Corn in Central Mexico Using the Thexmex Datasets

Aktive Filter

Suchergebnisse filtern