Results 31 to 40 of about 199,504 (303)
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 +5 more
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 +5 more
doaj +1 more source
Vegetation response to extreme climate events on the Mongolian Plateau from 2000 to 2010 [PDF]
, 2013 Climate change has led to more frequent extreme winters (aka, dzud) and summer droughts on the Mongolian Plateau during the last decade. Among these events, the 2000–2002 combined summer drought–dzud and 2010 dzud were the most severe on vegetation.
Batkhishig, Ochirbat +8 more
core +3 more sources
Cotton Yield Estimation Based on Vegetation Indices and Texture Features Derived From RGB Image
Frontiers in Plant Science, 2022 Yield monitoring is an important parameter to evaluate cotton productivity during cotton harvest. Nondestructive and accurate yield monitoring is of great significance to cotton production.
Yiru Ma +8 more
doaj +1 more source
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 +2 more
doaj +1 more source
Identification of Forest Vegetation Using Vegetation Indices
Chinese Journal of Population Resources and Environment, 2004 Abstract Spectral feature of forest vegetation with remote sensing techniques is the research topic all over the world, because forest plays an important role in human beings' living environment. Research on vegetation classification with vegetation index is still very little recently.
Yuan Jinguo, Wang Wei
openaire +1 more source
European Journal of Remote Sensing, 2018 The main objectives of the research work were to determine the usefulness of Landsat and SPOT data for monitoring various forest parameters, and to assess the impact of changeable climatic conditions with the use of vegetation indices derived from ...
Zbigniew Bochenek +4 more
doaj +1 more source
Use of consumer-grade cameras to assess wheat N status and grain yield [PDF]
, 2019 Relationships between (a) fractional Intercepted PAR (fIPAR), and (b) aboveground biomass (Biomass) and (c) grain yield at harvest with the Normalized Difference Vegetation Index (NDVI) derived either from a spectroradiometer or a conventional camera at ...
Fernández Murcia, Enric +2 more
core +4 more sources
Estimation of Vegetation Indices with Random Kernel Forests
IEEE Access, 2022 Vegetation indexes help perform precision farming because they provide useful information regarding moisture, nutrient content, and crop health. Primary sources of those indexes are satellites and unmanned aerial vehicles equipped with expensive multispectral sensors.
openaire +2 more sources
Estimation of Crop Growth Parameters Using UAV-Based Hyperspectral Remote Sensing Data
Sensors, 2020 Above-ground biomass (AGB) and the leaf area index (LAI) are important indicators for the assessment of crop growth, and are therefore important for agricultural management. Although improvements have been made in the monitoring of crop growth parameters
Huilin Tao +9 more
doaj +1 more source