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Soil Water Conservation. Dynamics and Impact

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ISBN: 9783038978527 9783038978534 Year: Pages: 258 DOI: 10.3390/books978-3-03897-853-4 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- Environmental Technology
Added to DOAB on : 2019-04-25 16:37:17
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Abstract

Human needs like food and clean water are directly related to good maintenance of healthy and productive soils. A good understanding of human impact on the natural environment is therefore necessary to preserve and manage soil and water resources. This knowledge is particularly important in semi-arid and arid regions, where the increasing demands on limited water supplies require urgent efforts to improve water quality and water use efficiency. It is important to keep in mind that both soil and water are limited resources. Thus, wise use of these natural resources is a fundamental prerequisite for the sustainability of human societies. This book collects 15 original scientific contributions addressing the state of the art of soil and water conservation research. Contributions cover a wide range of topics, including (1) recovery of soil hydraulic properties; (2) erosion risk; (3) novel modeling, monitoring and experimental approaches for soil hydraulic characterization; (4) improvement of crop yields; (5) water availability; and (6) soil salinity. This collection provides more insights into conservation strategies for effective and sustainable soil and water management.

Keywords

soil moisture storage --- van Genuchten model --- distributed model --- Xin’anjiang model --- TOPMODEL --- bimsoils --- critical hydraulic gradient (CHG) --- response surface methodology --- multi-parameter evaluation --- laboratory experiment --- soil block --- subsurface flow --- macropore network --- spatial scale --- polyurethane foam --- hillslope --- soil water content --- field observation --- three-dimensional model --- numerical model --- delta plain --- shallow groundwater --- unsaturated soil --- Richards equation --- the Trefftz method --- transient --- the meshless method --- vineyards --- infiltration rate --- age of planting --- saturated hydraulic conductivity --- Malawi --- conservation agriculture --- peer effects --- decision tree modeling --- olive grove --- sap flow --- relative transpiration --- FDR sensor --- EM38 --- fraction transpiration soil water --- transdisciplinary research --- Follow-the-Innovation --- innovation development --- electromagnetic induction meter (EM) --- The Agricultural Production Systems sIMulator (APSIM) software --- AquaCrop --- cereals --- DSSAT --- field scattering --- food security --- microdose fertilization --- rainfall variability --- tied ridges --- upgrading strategies --- soil properties --- saturated soil hydraulic conductivity --- soil infiltration --- Beerkan method --- post-fire soil hydraulic characterization --- infiltration --- bottomless bucket method --- single-ring infiltrometer --- field-saturated soil hydraulic conductivity --- data analysis procedures --- environmental change --- local perception --- food security --- adaptation --- soil tillage --- tillage erosion --- seedbed preparation --- water infiltration --- nitrogen use efficiency --- specific leaf water content --- vegetable production --- soil --- yield --- water and soil conservation --- sustainable land management --- soil erosion --- soil water storage --- water infiltration --- water availability --- crop yields

Remote Sensing Applications for Agriculture and Crop Modelling

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ISBN: 9783039282265 9783039282272 Year: Pages: 308 DOI: 10.3390/books978-3-03928-227-2 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Geography
Added to DOAB on : 2020-04-07 23:07:08
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Abstract

Crop models and remote sensing techniques have been combined and applied in agriculture and crop estimation on local and regional scales, or worldwide, based on the simultaneous development of crop models and remote sensing. The literature shows that many new remote sensing sensors and valuable methods have been developed for the retrieval of canopy state variables and soil properties from remote sensing data for assimilating the retrieved variables into crop models. At the same time, remote sensing has been used in a staggering number of applications for agriculture. This book sets the context for remote sensing and modelling for agricultural systems as a mean to minimize the environmental impact, while increasing production and productivity. The eighteen papers published in this Special Issue, although not representative of all the work carried out in the field of Remote Sensing for agriculture and crop modeling,

Keywords

crop residue management --- remote sensing --- satellite images --- hyperspectral sensor --- vegetation index --- yield monitoring --- remote sensing --- proximal sensing --- crop modeling --- soil --- plant --- management zone --- spatial variability --- temporal variability --- precision agriculture --- Á Trous algorithm --- conservation agriculture --- crop inventory --- remote sensing --- spectral-weight variations in fused images --- soil stoichiometry --- land use change --- soil organic carbon --- nitrogen --- Tarim Basin --- SPAD --- leaf nitrogen concentration --- nitrogen nutrition index --- grain yield --- dynamic model --- wheat --- disease --- yield --- septoria tritici blotch --- leaf area index --- crop modelling --- decision support system for agrotechnology transfer (DSSAT) --- Cropsim-CERES Wheat --- sorghum biomass --- prediction modeling --- machine learning --- fAPAR --- Sentinel-2 satellite imagery --- big data technology --- remote sensing --- UAV --- vegetation indices --- relative frequencies --- yield --- precision agriculture --- cultivars --- crop growth model --- data assimilation --- Leaf Area Index --- Sentinel-2 --- EPIC model --- yield estimation --- NDVI --- remote sensing --- GIS --- precision farming --- variable rate technology --- yield mapping --- protein content --- wheat --- canopy temperature depression --- NDVI --- RGB images --- grain yield --- ?13C --- UAV chemical application --- droplet drift --- flat-fan atomizer --- simulation analysis --- control variables --- agricultural land-cover --- multi-spectral --- generalized model --- machine learning --- crop type mapping --- Integrated Administration and Control System --- remote sensing --- hydroponic --- vegetable monitoring --- crop production --- spectral simulation --- hyperspectral data --- n/a --- fractional cover --- irrigation --- satellite --- crop simulation model --- AquaCrop --- yield mapping --- remote sensing --- durum wheat --- precision agriculture --- large cardamom --- remote sensing --- species modelling --- habitat assessment --- climate change

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MDPI - Multidisciplinary Digital Publishing Institute (2)


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english (2)


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