The present study aims to investigate the potential of random forests ensemble classification and regression technique improve rainfall rate assignment during day, night twilight (resulting in 24-hour precipitation estimates) based on cloud physical properties retrieved from Meteosat Second Generation (MSG) Spinning Enhanced Visible InfraRed Imager (SEVIRI) data. Random (RF) models contain a combination characteristics that make them well suited for its application remote sensing. One key...

Abstract A new rainfall retrieval technique for determining rates in a continuous manner (day, twilight, and night) resulting 24-h estimation applicable to midlatitudes is presented. The approach based on satellite-derived information cloud-top height, temperature, cloud phase, water path retrieved from Meteosat Second Generation (MSG) Spinning Enhanced Visible Infrared Imager (SEVIRI) data uses the random forests (RF) machine-learning algorithm. realized three steps: (i) precipitating areas...

Information about clouds is important for observing and predicting weather climate as well generating distributing solar power. Most existing approaches extract cloud information from satellite data by classifying individual pixels instead of using closely integrated spatial information, ignoring the fact that are highly dynamic, spatially continuous entities. This paper proposes a novel classification method based on deep learning. Relying Convolutional Neural Network (CNN) architecture...

Abstract Spaceborne remote sensing provides valuable information about the state of Earth‐atmosphere system and its components in an area‐wide continuous manner. Over past 50 years a range satellite platforms carrying many different sensors has been constructed to monitor atmospheric parameters used meteorological climatological studies, retrieved from satellite‐based greatly enhanced our understanding processes dynamics within system. The present paper gives overview existing satellites...

In the megadiverse tropical mountain forest in Andes of southern Ecuador, a global biodiversity hotspot, use fire to clear land for cattle ranching is leading invasion an aggressive weed, bracken fern, which threatening diversity and provisioning ecosystem services. To find sustainable options adapted local situation, profound knowledge long-term spatiotemporal patterns cover change its drivers necessary, but hitherto lacking. The complex topography high cloud frequency make remote sensing...

A new day and night technique for precipitation process separation rainfall intensity differentiation using the Meteosat Second Generation Spinning Enhanced Visible Infrared Imager is proposed. It relies on conceptual design that convective clouds with higher intensities are characterized by a larger vertical extension cloud top. For advective‐stratiform areas, it assumed areas water path (CWP) more ice particles in upper parts intensities. First, rain area separated into of processes. Next,...

The Atacama Desert is well known for the high occurrence of large-scale fog (spatial extents: hundreds kilometers) emerging as low stratus (LST) decks over Pacific Ocean. By contrast, small-scale and heterogeneous (hundreds meters) particularly during summers widely unconsidered. However, these events are important local vegetation biological soil crusts (BSC) that distributed in this extreme ecosystem. Consequently, a case study typical oasis Pan de Azúcar National Park was conducted to...

Hyperspectral imaging (HSI) is increasingly gaining acceptance in the medical field. Up until now, HSI has been used conjunction with rigid endoscopy to detect cancer vivo. The logical next step pair flexible endoscopy, since it improves access hard-to-reach areas. While endoscope's fiber optic cables provide advantage of flexibility, they also introduce an interfering honeycomb-like pattern onto images. Due substantial impact this on locating cancerous tissue, must be removed before HS data...

Due to the significant impact of fog and low stratus (FLS) on economy, ecology traffic systems, there is a growing demand for high‐resolution information FLS occurrence. In this study, baseline climatology h day −1 based data recorded from 2006–2015 by Spinning Enhanced Visible Infrared Imager system (SEVIRI) aboard Meteosat Second Generation satellites computed Europe provide requested information. It first 10 year, spatially explicit with temporal resolution 15 min. The dataset validated...

Precipitation is a central quantity of hydrometeorological research and applications. Especially in complex terrain, such as High Mountain Asia (HMA), surface precipitation observations are scarce. Gridded products one way to overcome the limitations ground truth observations. They can provide datasets continuous both space time. However, there many available, which use various methods for data generation lead different values. In our study we compare nine gridded from origins (ERA5,...

Abstract The distinction made by satellite data between ground fog and low stratus is still an open problem. A proper detection scheme would need to make a determination thickness top height. Based on this information, base height can be computed compared with terrain at specific picture element. In the current paper, procedure for making low-level proposed based Moderate Resolution Imaging Spectroradiometer (MODIS, flying board NASA Terra Aqua satellites) daytime Germany. Stratus...

Abstract A scheme for the detection of fog and low stratus over land during daytime based on data MODIS (Moderate Resolution Imaging Spectroradiometer) instrument is presented. The method an initial threshold test procedure in solar bands 1–7 (0.62–2.155µm). Fog generally relies definition minimum maximum properties, which are converted to spectral thresholds by means radiative transfer calculations (RTC). Extended sensitivity studies reveal that mainly depend zenith angle and, hence,...

Abstract A new method for the delineation of precipitation during night‐time using multispectral satellite data is proposed. The approach not only applicable to detection mainly convective by means commonly used relation between infrared cloud‐top temperature and rainfall probability but enables also stratiform (e.g. in connection with mid‐latitude frontal systems). presented scheme based on conceptual model that precipitating clouds are characterized a combination particles large enough...

Hyperspectral imaging (HSI) is a technology with high potential in the field of non-invasive detection cancer. However, complex situations like HSI larynx rigid endoscope, various image interferences can disable proper classification cancerous tissue. We identified three main problems: i) misregistration single images HS cube due to patient heartbeat ii) noise and iii) specular reflections (SR). Consequently, an pre-processor developed current paper overcome these interferences. It...

Up until now montane cloud forest (MCF) in Taiwan has only been mapped for selected areas of vegetation plots. This paper presents the first comprehensive map MCF distribution entire island. For its creation, a Random Forest model was trained with plots from National Vegetation Database that were classified as "MCF" or "non-MCF". predicted raster data set parameters derived digital elevation (DEM), Landsat channels and texture measures them well ground fog frequency Moderate Resolution...

Abstract. A new method for the delineation of precipitation during daytime using multispectral satellite data is proposed. The approach not only applicable to detection mainly convective by means commonly used relation between infrared cloud top temperature and rainfall probability but enables also stratiform (e.g. in connection with mid-latitude frontal systems). presented scheme based on conceptual model that precipitating clouds are characterized a combination particles large enough fall,...

Fog has a substantial influence on various ecosystems and it impacts economy, traffic systems human life in many ways. In order to be able deal with the large number of factors, spatially explicit high-resoluted data set fog frequency distribution is needed. this study, hybrid approach for retrieval based Meteosat Second Generation (MSG) ground truth presented. The method random forest (RF) machine learning model that trained cloud base altitude (CBA) observations from Meteorological...

Abstract The Amazon rainforest is home to an incredible variety of plant and animal species plays a crucial role in regulating the Earth’s climate. Climate change human activities are putting this important ecosystem at risk. In particular, increasing droughts making it harder for certain organisms survive. Here we analyse satellite-based data set fog/low-stratus (FLS) frequency spatio-temporal drought index. We show that vulnerable may find refuge river valleys where FLS provides source...

Abstract The aim of this study was to proof applicability hyperspectral imaging for the analysis and classification human mucosal surfaces in vivo. larynx as a prototypical anatomically well‐defined surgical test area analyzed by microlaryngoscopy with polychromatic lightsource synchronous triggered monochromatic CCD‐camera. Image stacks (5 benign, 7 malignant tumors) were established software (principal component PCA, classification, spectral profiles). Hyperspectral image datacubes...

In the field of earth observation, hyperspectral detector systems allow precise target detections surface components from remote sensing platforms. This enables specific land covers to be identified without need physically travel areas examined. medical field, efforts are underway develop optical technologies that detect altering tissue surfaces necessity perform an excisional biopsy. With establishment expedient classification procedures, imaging may provide a non-invasive diagnostic method...

Abstract The potential of rainfall-rate assignment using Meteosat Second Generation (MSG) Spinning Enhanced Visible and Infrared Instrument (SEVIRI) data is investigated. For this purpose, a new conceptual model for precipitation processes in connection with midlatitude cyclones developed, based on the assumption that high rainfall rates are linked to optical thickness large effective particle radius, whereas low small radius. Reflection values 0.56–0.71-μm (VIS0.6) 1.5–1.78-μm (NIR1.6)...