The position of the inflexion point in the red edge (680 nm to 780 nm), termed the red-edge position (REP) has been used as a measure to estimate foliar chlorophyll or nitrogen content. In this study, we assessed the utility of a new technique for extracting the REP, the linear extrapolation method recently proposed by Cho and Skidmore [Remote Sens. Environ. (in press)]. The assessment was base...

Why do plants reflect in the green and have a "red edge" in the red, and should extrasolar photosynthesis be the same? We provide (1) a brief review of how photosynthesis works, (2) an overview of the diversity of photosynthetic organisms, their light harvesting systems, and environmental ranges, (3) a synthesis of photosynthetic surface spectral signatures, and (4) evolutionary rationales for ...

Abstract. Machine learning (ML) has proven useful for a very large number of applications in several domains. It realized remarkable growth remote-sensing image analysis over the past few years. Deep Learning (DL) subset machine were applied this work to achieve better classification Land Use Cover (LULC) satellite imagery using Convolutional Neural Networks (CNNs). EuroSAT benchmarking data se...

To understand the function of edges in perception of moving objects, we defined four questions to answer. Is the focus point in visual motion detection of a moving object: (1) the body or the edge of the object, (2) the leading edge or trailing edge of the object, (3) different in scotopic, mesopic and photopic luminance levels, or (4) different for colored objects? We measured the Optomotor Re...

This study conducts an exploratory evaluation of the performance of the newly available Sentinel-2A Multispectral Instrument (MSI) imagery for mapping water bodies using the image sharpening approach. Sentinel-2 MSI provides spectral bands with different resolutions, including RGB and Near-Infra-Red (NIR) bands in 10 m and Short-Wavelength InfraRed (SWIR) bands in 20 m, which are closely relate...

Rice is a globally significant staple food crop. Therefore, it crucial to have adequate tools for monitoring changes in the extent of rice paddy cultivation. Such system would require sustainable and operational workflow that employs open-source medium high spatial temporal resolution satellite imagery efficient classification techniques. This study used similar phenological data from Sentinel-...

Several methods for extracting the chlorophyll sensitive red-edge position (REP) from hyperspectral data are reported in literature. This study is a continuation of a recent paper published as ‘A new technique for extracting the red edge position from hyperspectral data: the linear extrapolation method’. The method was validated experimentally for estimation of foliar nitrogen concentrations of...

Abstract Remote sensing is an important technical tool for rapid detection of illegal mining behavior. Due to the complex features open-pit coal mines, there are few studies about automatic extraction mines. Based on Convolutional Neural Network and Dense Block, we propose a lightweight densely connected network-AD-Net areas from Sentinel-2 remote images, construct three sample libraries in nor...

Surface water bodies, such as rivers, lakes, and reservoirs, play an irreplaceable role in global ecosystems climate systems. Sentinel-2 imagery provides new high-resolution satellite remote sensing data. Based on the analysis of spectral characteristics satellite, a novel index called (SWI) that is based vegetation-sensitive red-edge band (Band 5) shortwave infrared 11) bands was developed. Fo...

A field experiment was carried out to assess biomass and nitrogen status inMediterranean pastures by means of hyperspectral high resolution field radiometric data. Spectral and agronomic measurements were collected at three different pasture growth stages and in grazed–ungrazed plots distributed over an area of 14 ha. Reflectance-based vegetation indices such as simple ratio indices (SR[i,j]) a...