EVALUATION OF RGB VEGETATION INDICES DERIVED FROM UAV IMAGES FOR RICE CROP GROWTH MONITORING
نویسندگان
چکیده
Abstract. The unmanned aerial vehicles (UAVs) are widely used for agricultural monitoring due to reduce the cost and time of crop via acquisition images with high spatial-temporal resolution. normalized difference vegetation index (NDVI) is most studied mapping growth. A relatively expensive multispectral sensor required produce an NDVI map. visible indices (VIs) derived from UAV showed potential capabilities predicting purpose this paper evaluate RGB monitor growth rice crop. were obtained study area by DJI PM4 UAV. calculate as a reference different implemented compared index. results that can be in case unavailable images.
منابع مشابه
Very high resolution crop surface models (CSMs) from UAV-based stereo images for rice growth monitoring In Northeast China
Unmanned aerial vehicles (UAVs) became popular platforms for the collection of remotely sensed geodata in the last years (Hardin & Jensen 2011). Various applications in numerous fields of research like archaeology (Hendrickx et al., 2011), forestry or geomorphology evolved (Martinsanz, 2012). This contribution deals with the generation of multi-temporal crop surface models (CSMs) with very high...
متن کاملEvaluating Multispectral Images and Vegetation Indices for Precision Farming Applications from UAV Images
Unmanned Aerial Vehicles (UAV)-based remote sensing offers great possibilities to acquire in a fast and easy way field data for precision agriculture applications. This field of study is rapidly increasing due to the benefits and advantages for farm resources management, particularly for studying crop health. This paper reports some experiences related to the analysis of cultivations (vineyards...
متن کاملEstimating Biomass of Barley Using Crop Surface Models (CSMs) Derived from UAV-Based RGB Imaging
Crop monitoring is important in precision agriculture. Estimating above-ground biomass helps to monitor crop vitality and to predict yield. In this study, we estimated fresh and dry biomass on a summer barley test site with 18 cultivars and two nitrogen (N)-treatments using the plant height (PH) from crop surface models (CSMs). The superhigh resolution, multi-temporal (1 cm/pixel) CSMs were der...
متن کاملComparison of Machine Learning Algorithms for Broad Leaf Species Classification Using UAV-RGB Images
Abstract: Knowing the tree species combination of forests provides valuable information for studying the forest’s economic value, fire risk assessment, biodiversity monitoring, and wildlife habitat improvement. Fieldwork is often time-consuming and labor-required, free satellite data are available in coarse resolution and the use of manned aircraft is relatively costly. Recently, unmanned aeria...
متن کاملVegetation Indices in Crop Assessments
Vegetation indices (VI), such as greenness (GVI), perpendicular (PVI), transformed soil adjusted (TSAVI), and normalized difference (NDVI), measure the photosynthetic size of plant canopies and portend yields. A set of equations, called spectral components analysis (SCA), that interrelates VI or cumulative seasonal VI (Y'.VI), leaf area index (L), fractional photosynthetically active radiation ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
سال: 2023
ISSN: ['2194-9042', '2194-9050', '2196-6346']
DOI: https://doi.org/10.5194/isprs-annals-x-4-w1-2022-385-2023