scholarly journals Correction: Yang et al. Influence of Relief Degree of Land Surface on Street Network Complexity in China. ISPRS Int. J. Geo-Inf. 2021, 10, 705

2022 ◽  
Vol 11 (1) ◽  
pp. 52
Author(s):  
Nai Yang ◽  
Le Jiang ◽  
Yi Chao ◽  
Yang Li ◽  
Pengcheng Liu
Keyword(s):  
Land Surface ◽  
Original Publication ◽  
Street Network

In the original publication [...]

Land surface processes and Sahel climate

2000 ◽  
Vol 38 (1) ◽  
pp. 117-140 ◽  
Author(s):  
Sharon Nicholson
Keyword(s):  
Land Surface ◽  
Surface Processes ◽  
Land Surface Processes

Producing Quality Peanut Seed

EDIS ◽  
1969 ◽  
Vol 2002 (8) ◽  
Author(s):  
Elmo B. Whitty
Keyword(s):  
Cooperative Extension ◽  
Cooperative Extension Service ◽  
Extension Service ◽  
Publication Date ◽  
Original Publication ◽  
Peanut Seed ◽  
University Of Florida ◽  
Agricultural Sciences

This document is SS-AGR-187, one of a series of the Agronomy Department, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida. Original publication date November 2002.

Citrus Blemishes and Decay Caused by Fungi and Bacteria

EDIS ◽  
2017 ◽  
Vol 2017 (3) ◽  
Author(s):  
Mark A. Ritenour ◽  
Jamie D. Burrow ◽  
Megan M Dewdney ◽  
John Zhang
Keyword(s):  
Publication Date ◽  
Original Publication ◽  
Fruit Decay ◽  
Florida Citrus ◽  
Identification Tool

This is a quick identification tool of citrus blemishes and fruit decay caused by fungi and bacteria in Florida citrus. Original publication date May 2017. 

Wheel Bug, Arilus cristatus (Linnaeus) (Insecta: Hemiptera: Reduviidae)

EDIS ◽  
2017 ◽  
Vol 2017 (2) ◽  
pp. 5
Author(s):  
F. W. Mead
Keyword(s):  
Life History ◽  
Publication Date ◽  
Original Publication ◽  
Medical Importance

Contents: Introduction - Synonymy - Distribution - Description and Identification - Life History - Notes on Behavior - Importance as a Predator - Medical Importance - Enemies - Selected References This document is EENY086, one of a series of the Department of Entomology and Nematology, UF/IFAS Extension. Original publication date June 1999. Revised December 2005, August 2014, and March 2017. Visit the EDIS website at http://edis.ifas.ufl.edu. This document is also available on the Featured Creatures website at http://entnemdept.ifas.ufl.edu/creatures/.

STUDY OF POND STATUS IN INDIA : A REVIEW

2017 ◽  
Vol 23 (1) ◽  
Author(s):  
V.K. YADAV ◽  
SONAM SHARMA ◽  
A.K. SRIVASTAVA ◽  
P.K. KHARE
Keyword(s):  
Fresh Water ◽  
Land Surface ◽  
Human Population ◽  
Climate Changes ◽  
Hydrological Cycle ◽  
Habitat Destruction ◽  
Conservation Strategy ◽  
Goods And Services ◽  
Human Use ◽  
Over Exploitation

Ponds are an important fresh water critical ecosystem for plants and animals providing goods and services including food, fodder, fish, irrigation, hydrological cycle, shelter, medicine, culture, aesthetic and recreation. Ponds cover less than 2 percent of worlds land surface. Ponds are important source of fresh water for human use. These are threatened by urbanization, industrialization, over exploitation, fragmentation, habitat destruction, pollution, illegal capturing of land and climate changes. These above factors have been destroying ponds very rapidly putting them in danger of extinction of a great number of local biodiversity. It is necessary to formulate a correct conservation strategy for pond restoration in order to meet the growing needs of fresh water by increasing the human population. Some measures have been compiled and proposed in the present review.

THE IDENTIFICATION OF PARAMETERS OF THEORIES USED FOR PROGNOSES OF POST MINING DEFORMATIONS BY MEANS OF PRESENT SOFTWARE / IDENTYFIKACJA WARTOŚCI PARAMETRÓW TEORII PROGNOZOWANIA WPŁYWÓW PRZY WYKORZYSTANIU WSPÓŁCZESNYCH NARZĘDZI INFORMATYCZNYCH

2013 ◽  
Vol 58 (4) ◽  
pp. 1347-1357 ◽  
Author(s):  
Roman Ścigała
Keyword(s):  
Rock Mass ◽  
Land Surface ◽  
Underground Mining ◽  
Transient State ◽  
Computer Programs ◽  
Asymptotic State ◽  
Software System ◽  
Practical Utilization ◽  
Identification Of Parameters ◽  
Graphical Processing

Abstract The characteristic of specialized computer programs has been presented, serving for identification of W. Budryk-S. Knothe theory parameters, used for description of asymptotic state of post-mining deformations, as well as for transient state. The software is the result of several years of authors’ work. It is a part of complete software system designed for forecasting of underground mining influences on the rock mass and land surface and graphical processing of calculations results. Apart from software description, a short example of its practical utilization has been attached.

Spatial Hotspot Analysis of Bucharest’s Urban Heat Island (UHI) Using Modis Data

2018 ◽  
Vol 18 (1) ◽  
pp. 14-22 ◽  
Author(s):  
Georgiana Grigoraș ◽  
Bogdan Urițescu
Keyword(s):  
Surface Temperature ◽  
Air Temperature ◽  
Land Surface Temperature ◽  
Hot Spots ◽  
Land Surface ◽  
Hot Spot ◽  
Monitoring Network ◽  
Residential Areas ◽  
Hotspot Analysis ◽  
The City

Abstract The aim of the study is to find the relationship between the land surface temperature and air temperature and to determine the hot spots in the urban area of Bucharest, the capital of Romania. The analysis was based on images from both moderate-resolution imaging spectroradiometer (MODIS), located on both Terra and Aqua platforms, as well as on data recorded by the four automatic weather stations existing in the endowment of The National Air Quality Monitoring Network, from the summer of 2017. Correlation coefficients between land surface temperature and air temperature were higher at night (0.8-0.87) and slightly lower during the day (0.71-0.77). After the validation of satellite data with in-situ temperature measurements, the hot spots in the metropolitan area of Bucharest were identified using Getis-Ord spatial statistics analysis. It has been achieved that the “very hot” areas are grouped in the center of the city and along the main traffic streets and dense residential areas. During the day the "very hot spots” represent 33.2% of the city's surface, and during the night 31.6%. The area where the mentioned spots persist, falls into the "very hot spot" category both day and night, it represents 27.1% of the city’s surface and it is mainly represented by the city center.

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