Results 21 to 30 of about 4,811,303 (245)

Comparing the Use of Red-Edge and Near-Infrared Wavelength Ranges for Detecting Submerged Kelp Canopy

Remote Sensing, 2022
Kelp forests are commonly classified within remote sensing imagery by contrasting the high reflectance in the near-infrared spectral region of kelp canopy floating at the surface with the low reflectance in the same spectral region of water.
Brian Timmer, Luba Y. Reshitnyk, Margot Hessing-Lewis, Francis Juanes, Maycira Costa   +4 more
doaj   +1 more source

Remote Sensing Based Simple Models of GPP in Both Disturbed and Undisturbed Piñon-Juniper Woodlands in the Southwestern U.S.

Remote Sensing, 2015
Remote sensing is a key technology that enables us to scale up our empirical, in situ measurements of carbon uptake made at the site level. In low leaf area index ecosystems typical of semi-arid regions however, many assumptions of these remote sensing ...
Dan J. Krofcheck, Jan U. H. Eitel, Christopher D. Lippitt, Lee A. Vierling, Urs Schulthess, Marcy E. Litvak   +5 more
doaj   +1 more source

Detection of calcium, magnesium, and chlorophyll variations of wheat genotypes on sodic soils using hyperspectral red edge parameters [PDF]

, 2022
Plants grown on sodic soils can suffer from macronutrient deficiencies, such as calcium (Ca), magnesium (Mg), and potassium (K), reducing health and growth.
Dang, Yash P, Das, Sumanta, Apan, Armando, Chapman, Scott, Vincent Mellor, Christopher, Jack, Neal W. Menzies, Jack Christopher, Sumanta Das, Armando Apan, Mellor, Vincent, Menzies, Neal W, Scott Chapman, Choudhury, Malini Roy, Yash P. Dang, Menzies, Neal W., Malini Roy Choudhury, Dang, Yash P.   +17 more
core   +1 more source

Improving Leaf Area Index Estimation With Chlorophyll Insensitive Multispectral Red-Edge Vegetation Indices

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
As an essential vegetation biophysical trait that determines the plant's structure and photosynthetic capacity, characterizing of leaf area index (LAI) is important for vegetation growth and health monitoring.
Yuanheng Sun, Binyu Wang, Zhaoxu Zhang
doaj   +1 more source

Mapping the Forage Nitrogen-Phosphorus Ratio Based on Sentinel-2 MSI Data and a Random Forest Algorithm in an Alpine Grassland Ecosystem of the Tibetan Plateau

Remote Sensing, 2020
Nondestructive and accurate estimating of the forage nitrogen–phosphorus (N:P) ratio is conducive to the real-time diagnosis of nutrient limitation and the formulation of a management scheme during the growth and development of forage.
Jinlong Gao, Jie Liu, Tiangang Liang, Mengjing Hou, Jing Ge, Qisheng Feng, Caixia Wu, Wenlong Li   +7 more
doaj   +1 more source

Effect of the Red-Edge Band from Drone Altum Multispectral Camera in Mapping the Canopy Cover of Winter Wheat, Chickweed, and Hairy Buttercup

Drones, 2023
The detection and mapping of winter wheat and the canopy cover of associated weeds, such as chickweed and hairy buttercup, are essential for crop and weed management.
Clement E. Akumu, Sam Dennis
doaj   +1 more source

Remote sensing of grassland with contaminated soil using the spectral red-edge

, 2009
In most cases contaminants are concealed in soil and under vegetation and therefore cannot be measured directly by remote sensing. However, soil contaminants were detectedusing the spectral red-edge to indicate vegetation stress caused by the presence ...
Llewellyn, Gary Michael
core   +2 more sources

Multi-Crop Green LAI Estimation with a New Simple Sentinel-2 LAI Index (SeLI)

Sensors, 2019
The spatial quantification of green leaf area index (LAIgreen), the total green photosynthetically active leaf area per ground area, is a crucial biophysical variable for agroecosystem monitoring.
Nieves Pasqualotto, Jesús Delegido, Shari Van Wittenberghe, Michele Rinaldi, José Moreno   +4 more
doaj   +1 more source

Application of red edge band in remote sensing extraction of surface water body: a case study based on GF-6 WFV data in arid area

Hydrology Research, 2021
This paper mainly researches the application method of red edge band in water body remote sensing extraction. Gaofen-6 (GF-6) WFV data were chosen for the high spatial resolution, more bands, and wide width. Two new methods were proposed: the single-band
Zhao Lu, Daqing Wang, Zhengdong Deng, Yue Shi, Zhibin Ding, Hao Ning, Hongfei Zhao, Jiazheng Zhao, Haoli Xu, Xiaoning Zhao   +9 more
doaj   +1 more source

Mapping Intra-Field Yield Variation Using High Resolution Satellite Imagery to Integrate Bioenergy and Environmental Stewardship in an Agricultural Watershed

Remote Sensing, 2015
Biofuels are important alternatives for meeting our future energy needs. Successful bioenergy crop production requires maintaining environmental sustainability and minimum impacts on current net annual food, feed, and fiber production.
Yuki Hamada, Herbert Ssegane, Maria Cristina Negri   +2 more
doaj   +1 more source