tag on yout theme's header.php
Read the detailed step-by-step at https://humbertosilva.com/visual-composer-infinite-image-carousel/
*/
// auxiliary code to create triggers for the add and remove class for later use
(function($){
$.each(["addClass","removeClass"],function(i,methodname){
var oldmethod = $.fn[methodname];
$.fn[methodname] = function(){
oldmethod.apply( this, arguments );
this.trigger(methodname+"change");
return this;
}
});
})(jQuery);
// main function for the infinite loop
function vc_custominfiniteloop_init(vc_cil_element_id){
var vc_element = '#' + vc_cil_element_id; // because we're using this more than once let's create a variable for it
window.maxItens = jQuery(vc_element).data('per-view'); // max visible items defined
window.addedItens = 0; // auxiliary counter for added itens to the end
// go to slides and duplicate them to the end to fill space
jQuery(vc_element).find('.vc_carousel-slideline-inner').find('.vc_item').each(function(){
// we only need to duplicate the first visible images
if (window.addedItens < window.maxItens) {
if (window.addedItens == 0 ) {
// the fisrt added slide will need a trigger so we know it ended and make it "restart" without animation
jQuery(this).clone().addClass('vc_custominfiniteloop_restart').removeClass('vc_active').appendTo(jQuery(this).parent());
} else {
jQuery(this).clone().removeClass('vc_active').appendTo(jQuery(this).parent());
}
window.addedItens++;
}
});
// add the trigger so we know when to "restart" the animation without the knowing about it
jQuery('.vc_custominfiniteloop_restart').bind('addClasschange', null, function(){
// navigate to the carousel element , I know, its ugly ...
var vc_carousel = jQuery(this).parent().parent().parent().parent();
// first we temporarily change the animation speed to zero
jQuery(vc_carousel).data('vc.carousel').transition_speed = 0;
// make the slider go to the first slide without animation and because the fist set of images shown
// are the same that are being shown now the slider is now "restarted" without that being visible
jQuery(vc_carousel).data('vc.carousel').to(0);
// allow the carousel to go to the first image and restore the original speed
setTimeout("vc_cil_restore_transition_speed('"+jQuery(vc_carousel).prop('id')+"')",100);
});
}
// restore original speed setting of vc_carousel
function vc_cil_restore_transition_speed(element_id){
// after inspecting the original source code the value of 600 is defined there so we put back the original here
jQuery('#' + element_id).data('vc.carousel').transition_speed = 600;
}
// init
jQuery(document).ready(function(){
// find all vc_carousel with the defined class and turn them into infine loop
jQuery('.vc_custominfiniteloop').find('div[data-ride="vc_carousel"]').each(function(){
// allow time for the slider to be built on the page
// because the slider is "long" we can wait a bit before adding images and events needed
var vc_cil_element = jQuery(this).prop("id");
if (window.innerWidth <= 480) {
// jQuery(vc_element).attr('data-per-view',1);
jQuery('.vc_item').each(function(){
this.style.width = '25%'
this.style.height = 'auto'
})
} else {
setTimeout("vc_custominfiniteloop_init('"+vc_cil_element+"')",2000);
}
});
});
(function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':
new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],
j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src=
'https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);
})(window,document,'script','dataLayer','GTM-TZHJ474');
var interval1 = setInterval(function(){
//console.log('ou no interval');
jQuery('.box-news .vc_gitem-zone-a').each(function() {
if((!jQuery(this).css('background-image').includes('vc_gitem_image'))) {
jQuery(this).css('background-image','none')
}
})
jQuery('.box-news .vc_gitem-zone-a a').each(function() {
jQuery(this).attr('data-hover','Leia mais')
})
}, 1000);
setTimeout(function() {
clearInterval(interval1);
},5000);
@font-face {
font-family: "FontAwesome";
src: url("/local/fonts/fa-brands-400.eot"),
url("/local/fonts/fa-brands-400.eot?#iefix") format("embedded-opentype"),
url("/local/fonts/fa-brands-400.woff2") format("woff2"),
url("/local/fonts/fa-brands-400.woff") format("woff"),
url("/local/fonts/fa-brands-400.ttf") format("truetype"),
url("/local/fonts/fa-brands-400.svg#fontawesome") format("svg");
}
@font-face {
font-family: "FontAwesome";
src: url("/local/fonts/fa-solid-900.eot"),
url("/local/fonts/fa-solid-900.eot?#iefix") format("embedded-opentype"),
url("/local/fonts/fa-solid-900.woff2") format("woff2"),
url("/local/fonts/fa-solid-900.woff") format("woff"),
url("/local/fonts/fa-solid-900.ttf") format("truetype"),
url("/local/fonts/fa-solid-900.svg#fontawesome") format("svg");
}
@font-face {
font-family: "FontAwesome";
src: url("/local/fonts/fa-regular-400.eot"),
url("/local/fonts/fa-regular-400.eot?#iefix") format("embedded-opentype"),
url("/local/fonts/fa-regular-400.woff2") format("woff2"),
url("/local/fonts/fa-regular-400.woff") format("woff"),
url("/local/fonts/fa-regular-400.ttf") format("truetype"),
url("/local/fonts/fa-regular-400.svg#fontawesome") format("svg");
unicode-range: U+F004-F005,U+F007,U+F017,U+F022,U+F024,U+F02E,U+F03E,U+F044,U+F057-F059,U+F06E,U+F070,U+F075,U+F07B-F07C,U+F080,U+F086,U+F089,U+F094,U+F09D,U+F0A0,U+F0A4-F0A7,U+F0C5,U+F0C7-F0C8,U+F0E0,U+F0EB,U+F0F3,U+F0F8,U+F0FE,U+F111,U+F118-F11A,U+F11C,U+F133,U+F144,U+F146,U+F14A,U+F14D-F14E,U+F150-F152,U+F15B-F15C,U+F164-F165,U+F185-F186,U+F191-F192,U+F1AD,U+F1C1-F1C9,U+F1CD,U+F1D8,U+F1E3,U+F1EA,U+F1F6,U+F1F9,U+F20A,U+F247-F249,U+F24D,U+F254-F25B,U+F25D,U+F267,U+F271-F274,U+F279,U+F28B,U+F28D,U+F2B5-F2B6,U+F2B9,U+F2BB,U+F2BD,U+F2C1-F2C2,U+F2D0,U+F2D2,U+F2DC,U+F2ED,U+F328,U+F358-F35B,U+F3A5,U+F3D1,U+F410,U+F4AD;
}
jQuery(document).ready(function(){
jQuery('.single-item').slick({
centerMode: true,
centerPadding: '60px',
slidesToShow: 5,
variableWidth: true,
autoplay: true,
autoplaySpeed: 2000,
responsive: [
{
breakpoint: 768,
settings: {
arrows: false,
centerMode: true,
centerPadding: '40px',
slidesToShow: 3
}
},
{
breakpoint: 520,
settings: {
arrows: false,
centerMode: true,
centerPadding: '40px',
slidesToShow: 1
}
}
]
});
});
.single-item img {
-webkit-filter: grayscale(100%);
filter: grayscale(100%);
}
.single-item img:hover {
-webkit-filter: grayscale(0);
filter: grayscale(0);
}
422n14
Reconstructing Three Decades of Land Use and Land Cover Changes in Brazilian Biomes with Landsat Archive and Earth Engine 4j2e9
Souza Jr., C.; Zanin Shimbo, J.; Rosa, M.,; Parente, L.; Alencar, A.; Rudorff, B.; Hasenack, H.; Matsumoto, M.; Ferreira, L.; Souza-Filho, P.; Oliveira, S.; Rocha, W.; Fonseca, A.; Balzani, C.; Diniz, C.; Costa, D.; Monteiro, D.; Rosa, E.; Vélez-Martin, E.; Azevedo, T. 2020/08/25. Reconstructing Three Decades of Land Use and Land Cover Changes in Brazilian Biomes with Landsat Archive and Earth Engine. Remote Sensing. 2020, 12, 2735; doi:10.3390/rs12172735
Abstract:Brazil has a monitoring system to track annual forest conversion in the Amazon and most recently to monitor the Cerrado biome. However, there is still a gap of annual land use and land cover (LULC) information in all Brazilian biomes in the country. Existing countrywide efforts to map land use and land cover lack regularly updates and high spatial resolution time-series data to better understand historical land use and land cover dynamics, and the subsequent impacts in the country biomes. In this study, we described a novel approach and the results achieved by a multi-disciplinary network called MapBiomas to reconstruct annual land use and land cover information between 1985 and 2017 for Brazil, based on random forest applied to Landsat archive using Google Earth Engine. We mapped five major classes: forest, non-forest natural formation, farming, non-vegetated areas, and water. These classes were broken into two sub-classification levels leading to the most comprehensive and detailed mapping for the country at a 30 m pixel resolution. The average overall accuracy of the land use and land cover time-series, based on a stratified random sample of 75,000 pixel locations, was 89% ranging from 73 to 95% in the biomes. The 33 years of LULC change data series revealed that Brazil lost 71 Mha of natural vegetation, mostly to cattle ranching and agriculture activities. Pasture expanded by 46% from 1985 to 2017, and agriculture by 172%, mostly replacing old pasture fields. We also identified that 86 Mha of the converted native vegetation was undergoing some level of regrowth. Several applications of the MapBiomas dataset are underway, suggesting that reconstructing historical land use and land cover change maps is useful for advancing the science and to guide social, economic and environmental policy decision-making processes in Brazil.
