Results 41 to 50 of about 58,425 (309)

Integrating Remote Sensing and Meteorological Data to Predict Wheat Stripe Rust

Remote Sensing, 2022
Wheat stripe rust poses a serious threat to wheat production. An effective prediction method is important for food security. In this study, we developed a prediction model for wheat stripe rust based on vegetation indices and meteorological features ...
Chao Ruan, Yingying Dong, Wenjiang Huang, Linsheng Huang, Huichun Ye, Huiqin Ma, Anting Guo, Ruiqi Sun   +7 more
doaj   +1 more source

Analysis of the LST and Vegetation Indices relationship using Landsat-8 data in Duhok Governorate, Iraq

Al-Mustansiriyah Journal of Science, 2021
Vegetation cover is considered one of the most important factors that affect weather, climate, and the environment. This paper aims to study the correlation between land surface temperature and the Vegetation Indices using Landsat data in Duhok ...
Aws Ali AlKhudhairy, Yaseen K. Al-Timimi
doaj   +1 more source

Suitability of the MODIS-NDVI Time-Series for a Posteriori Evaluation of the Citrus Tristeza Virus Epidemic [PDF]

, 2020
© 2020 by the authors.The technological advances of remote sensing (RS) have allowed its use in a number of fields of application including plant disease depiction.
Juan Miguel Ramírez-Cuesta, Daniela Vanella, Ramírez-Cuesta, Juan Miguel, Simona Consoli, Vanella, Daniela, Tessitori, Matilde, Matilde Tessitori, Consoli, Simona   +7 more
core   +1 more source

Comparison of Proximal and Remote Sensing for the Diagnosis of Crop Status in Site-Specific Crop Management

Sensors, 2021
The presented paper deals with the issue of selecting a suitable system for monitoring the winter wheat crop in order to determine its condition as a basis for variable applications of nitrogen fertilizers.
Jiří Mezera, Vojtěch Lukas, Igor Horniaček, Vladimír Smutný, Jakub Elbl   +4 more
doaj   +1 more source

awesome-spectral-indices/awesome-spectral-indices: 0.4.0

, 2023
Awesome Spectral Indices v0.4.0 :rocket: :artificial_satellite: :seedling: Improvements The G1 (Green 1) standard was created (this standard matches B11 from MODIS). The T (Thermal Infrared) standard was created (this standard matches B6 from Landsat TM/
David Montero Loaiza, Oto Kaláb, actions-user, Cesar Aybar   +3 more
core   +1 more source

Remote and Proximal Sensing-Derived Spectral Indices and Biophysical Variables for Spatial Variation Determination in Vineyards

Agronomy, 2021
Remote-sensing measurements are crucial for smart-farming applications, crop monitoring, and yield forecasting, especially in fields characterized by high heterogeneity.
Nicoleta Darra, Emmanouil Psomiadis, Aikaterini Kasimati, Achilleas Anastasiou, Evangelos Anastasiou, Spyros Fountas   +5 more
doaj   +1 more source

Modified vegetation indices for Ganoderma disease detection in oil palm from field spectroradiometer data [PDF]

, 2009
High resolution field spectroradiometers are important for spectral analysis and mobile inspection of vegetation disease. The biggest challenges in using this technology for automated vegetation disease detection are in spectral signatures pre-processing,
Saripan, M. Iqbal, Mohd Shafri, Helmi Zulhaidi, Anuar, Mohd Izzuddin   +2 more
core   +1 more source

Temporal Variation in Vegetation Indexes for Pine and Beech Stands During the Vegetation Season, Szczecin Lowland, Poland

Quaestiones Geographicae, 2014
Located in north-western Poland, the Bukowska Forest and Goleniowska Forest are vast woodlands consisting of areas with a homogeneous species composition that have been scarcely affected by humans.
Piekarski Paweł, Zwoliński Zbigniew
doaj   +1 more source

Narrow band based and broadband derived vegetation indices using Sentinel-2 Imagery to estimate vegetation biomass [PDF]

Global Journal of Environmental Science and Management, 2020
Forest’s ecosystem is one of the most important carbon sink of the terrestrial ecosystem. Remote sensing technology provides robust techniques to estimate biomass and solve challenges in forest resource assessment.
A.B. Imran, K. Khan, N. Ali, N. Ahmad, A. Ali, K. Shah   +5 more
doaj   +1 more source

Land Cover and Forest Type Classification by Values of Vegetation Indices and Forest Structure of Tropical Lowland Forests in Central Vietnam

International Journal of Forestry Research, 2020
This paper aims to (i) optimize the application of multiple bands of satellite images for land cover classification by using random forest algorithms and (ii) assess correlations and regression of vegetation indices of a better-performed land cover ...
Hung Nguyen Trong, The Dung Nguyen, Martin Kappas   +2 more
doaj   +1 more source