Results 21 to 30 of about 1,093,882 (292)

Determination of vegetation cover index under different soil management systems of cover plants by using an unmanned aerial vehicle with an onboard digital photographic camera

Semina: Ciências Agrárias, 2019
The permanent monitoring of vegetation cover is important to guarantee a sustainable management of agricultural activities, with a relevant role in the reduction of water erosion.
Adnane Beniaich, Marx Leandro Naves Silva, Fabio Arnaldo Pomar Avalos, Michele Duarte de Menezes, Bernardo Moreira Cândido   +4 more
doaj   +1 more source

Crop Type Classification Using Vegetation Indices of RapidEye Imagery [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014
Cutting-edge remote sensing technology has a significant role for managing the natural resources as well as the any other applications about the earth observation. Crop monitoring is the one of these applications since remote sensing provides us accurate,
M. Ustuner, F. B. Sanli, S. Abdikan, M. T. Esetlili, Y. Kurucu   +4 more
doaj   +1 more source

Rapid Identification of Main Vegetation Types in the Lingkong Mountain Nature Reserve Based on Multi-Temporal Modified Vegetation Indices

Sensors, 2023
Nature reserves are among the most bio-diverse regions worldwide, and rapid and accurate identification is a requisite for their management. Based on the multi-temporal Sentinel-2 dataset, this study presents three multi-temporal modified vegetation ...
Wenjing Fang, Hongfen Zhu, Shuai Li, Haoxi Ding, Rutian Bi   +4 more
doaj   +1 more source

Comparative analysis of different vegetation indices with respect to atmospheric particulate pollution using sentinel data

Applied Computing and Geosciences, 2020
Several remote sensing based indices have been developed for studying vegetation using varied combinations of spectral bands. However, for regions like Gautam Buddha Nagar (GBN) district where the atmospheric condition is highly influenced by particulate
Shivangi S. Somvanshi, Maya Kumari
doaj   +1 more source

Estimation of corn coefficients with vegetation indices using multispectral camera and drone

, 2023
Optimum irrigation scheduling and new technologies are the key to the successful practice of modern agriculture and natural resources, such as water management. Α three-year research project was conducted at Velestino, Magnesia, Greece.
Maria Andreas Sakellariou-Makrantonaki, Christos Dimitrios Papanikolaou   +1 more
core   +1 more source

davemlz/awesome-spectral-indices: 0.0.4

, 2021
Awesome Spectral Indices v0.0.4 :rocket: :artificial_satellite: :seedling: The following Spectral Indices were added to the list: Vegetation AFRI160000190-0): Aerosol Free Vegetation Index (1600 nm). AFRI210000190-0): Aerosol Free Vegetation Index (2100
David Montero Loaiza, actions-user, Cesar Aybar   +2 more
core   +1 more source

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

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

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