The aim of this study was to assess the ability optical images, SAR (Synthetic Aperture Radar) images and combination both types data discriminate between grasslands crops in agricultural areas where cloud cover is very high most time, which restricts use visible near-infrared satellite data. We compared performances variables extracted from four five with high/very spatial resolutions acquired during growing season. A vegetation index, namely NDVI (Normalized Difference Vegetation Index),...

In Europe, water levels in wetlands are widely controlled by environmental managers and farmers. However, the influence of these management practices on hydrodynamics biodiversity remains poorly understood. This study assesses advantages using radar data from recently launched Sentinel-1A satellite to monitor hydrological dynamics Poitevin marshland western France. We analyze a time series 14 images acquired VV HV polarizations December 2014 May 2015 with 12-day step. Both used hysteresis...

The current study presents an algorithm to retrieve surface Soil Moisture (SM) from multi-temporal Synthetic Aperture Radar (SAR) data. developed is based on the Cumulative Density Function (CDF) transformation of RADARSAT-2 backscatter coefficient (BC) obtain relative SM values, and then converts values into absolute using soil information. tested in a semi-arid tropical region South India 30 satellite images RADARSAT-2, SMOS L2 products, 1262 field measurements 50 plots spanning over 4...

Monitoring vegetation cover during winter is a major environmental and scientific issue in agricultural areas. From an viewpoint, the presence type of influences transport pollutants to water resources. methodological characterizing spatio-temporal dynamics land use at field scale challenging due diversity farming strategies practices winter. The objective this study was evaluate respective advantages Sentinel optical SAR time-series identify To end, Sentinel-1 -2 were classified using...

Riparian vegetation restoration projects require appropriate tools to monitor actions efficiency. On a large scale remote sensing approaches can provide continuous and detailed data describe riparian vegetation. In this paper, we illustrated recent developments perspectives for monitoring purposes through three examples of image sources: Light Detection And Ranging (LiDAR), radar Unmanned Aerial Vehicule (UAV) images. We notably focused on the potential such images 3D information narrow...

This paper is concerned with wetland vegetation mapping using multitemporal synthetic aperture radar imagery. Although wetlands play a key role in controlling flooding and nonpoint source pollution, sequestering carbon providing an abundance of ecological services, knowledge the flora fauna these environments patchy, understanding their functioning still insufficient for reliable functional assessment on areas larger than few hectares. The aim this to evaluate TerraSAR-X imagery precisely...

Groundwater has rapidly evolved as a primary source for irrigation in Indian agriculture. Over-exploitation of the groundwater substantially depletes natural water table and negative impacts on resource availability. The overarching goal proposed research is to identify historical evolution irrigated cropland post-monsoon (rabi) summer cropping seasons Berambadi watershed (Area = 89 km2) Kabini River basin, southern India. Approximately five-year interval area maps were generated using 30 m...

Land cover mapping over large areas is essential to address a wide spectrum of socio-environmental challenges. For this reason, many global or regional land products are regularly released the scientific community. Yet, remote sensing community has not fully addressed challenge extract useful information from vast volumes satellite data. Especially, major limitations concern use inadequate classification schemes and “black box” methods that may match with end-users conceptualization...

The remote sensing community benefits from new sensors and easier access to Earth Observation data frequently released land-cover maps. propagation of such independent heterogeneous products offers promising perspectives for various scientific domains the implementation monitoring land-use policies. Yet, it may also confuse end-users when comes identifying most appropriate product address their requirements. Data fusion methods can help combine competing and/or complementary maps in order...

The spatial prediction of land cover ot the Jeld scale in winter appears useful for issue bare soils reduction agricultural intensive regions. High variability factors that motivate changes between each involves integration uncertainty modelling process. Fusion process with Dempster-Shafer Theoiy (DST) presents some limits generating errors decision making when degree conflict, sources evidence suppor? hypotheses, becomes important. This paper focuses on application Dezeri-Smarandache Theory...

The detection of changes affecting continental surfaces has important applications in hydrological, meteorological and climatic modelling. Using remote sensing data, numerous change indices have already been proposed. Previous work showed the interest combining several these to improve performance, using Dempster–Shafer evidence theory framework. This study analyses performance different their combination cases application: forest logging either pine or mixed forest, winter vegetation cover...

Abstract. An accurate knowledge of the weather patterns causing winter rainfall over Scorff watershed in western Brittany (W. France) was developed prior to studies impact climate factor on land use management, and hydrological reponses rain-producing patterns. These two are carried out context change. The identification rainy air-circulation types realized using objective computational version 29-type Hess Brezowsky Grosswetterlagen system classifying European synoptic regimes, for cold...

Whilst most hedgerow functions depend upon structure and network patterns, in many ecological studies information on the fragmentation of hedgerows canopy is often retrieved field small areas using accurate ground surveys estimated over landscapes a semi-quantitative manner. This paper explores use radar SAR imagery to (i) detect networks; (ii) describe heterogeneity TerraSAR-X imagery. The extraction networks was achieved an object-oriented method two polarimetric parameters: Single Bounce...

This work aims to provide daily estimates of the evolution popcorn dry masses at field scale using an agro-meteorological model, named simple algorithm for yield model combined with a water balance (SAFY-WB), controlled by Green Area Index (GAI), derived from satellite images acquired in microwave and optical domains. Synthetic aperture radar (SAR) information (σ°VH/VV) was provided Sentinel-1A (S1-A) mission through two orbits (30 132), repetitiveness six days. The data were obtained...

The dynamics of land use/land cover change in the Lower Nhecolândia wetland are marked by deforestation for pasture expansion, resulting a real threat to ecological stability. aim our work was analyze spatial distribution changes from 1985 2013 and predict trends 2040. mapping developed using Landsat satellite images 1985, 1999, 2007, 2013, based on geographic object-based image analysis approach. This study uses integrated Markov chains cellular automata modeling multicriteria evaluation...

Groundwater has become a major source of irrigation in the past few decades India, but as it comes from millions individual borewells owned by smallholders irrigating small fields, is difficult to quantify actual irrigated area across seasons and years. This study’s main goal was monitor seasonal cropland using multiple optical satellite images. The proposed research performed over Berambadi watershed, an experimental site southern peninsular India. While cloud cover during crop growth...

Monitoring crop phenology is a great importance to yield estimation and agriculture field management for food security, sustainable development of improve productivity. It's also important understand how climate local factors are effect on growth. The increasing spatial temporal resolution globally available satellites such as Sentinel-2 gives unique opportunity monitor crops systematically by vegetation index time-series. To explore the applicability monitoring, we analyzed Normalized...

The long-term monitoring of wetland ecosystem functioning is critical because wetlands, which provide multiple services, can be affected by human activities and climate change. aim this study was to monitor in the long term using Landsat archive. Four contrasting, Ramsar wetlands were selected boreal, temperate, arid, tropical areas. First, annual sum normalized difference vegetation index (NDVI-I) calculated as an indicator net primary productivity for period 1984–2021 continuous change...

This paper is concerned with the identification of grassland management using both optical and radar data. In that context, grazing, mowing a mix these two managements are commonly used by farmers on fields. These practices their intensity use have different environmental impact. Thus, objectives this study are, firstly, to identify time series imagery at high spatial resolution and, secondly, evaluate contribution data improve farming grasslands. Because cloud coverage revisit frequency...