0:00:00.561,0:00:02.978


0:00:08.790,0:00:10.950
气候变化存在于人们的感知之外

0:00:10.950,0:00:12.093


0:00:14.100,0:00:15.960
我们能够看到其表现形式

0:00:15.960,0:00:18.030
但是我们看不到气候正在变化

0:00:18.030,0:00:19.980
而这正是一直存在的问题

0:00:21.540,0:00:24.337
气候变化的存在远超于我们所能感知的

0:00:28.148,0:00:30.050
仅是雨林的面积就横跨九个国家

0:00:30.050,0:00:31.200
所以人们很难讲气候变化

0:00:31.200,0:00:32.943
想象成一个单一的个体

0:00:33.917,0:00:36.500
（树倒）

0:00:40.320,0:00:42.660
此刻我们正处于临界点

0:00:42.660,0:00:45.840
有新的研究表明

0:00:45.840,0:00:48.030
雨林不再能够吸收碳排放

0:00:48.030,0:00:49.080


0:00:49.080,0:00:51.753
雨林已经成为了新的碳排放的来源

0:00:54.870,0:00:56.820


0:00:56.820,0:00:59.580
我们看过燃烧的雨林的图片

0:00:59.580,0:01:00.780
我们看到过许多类似的图片

0:01:00.780,0:01:02.250
那些图片当然是非常重要的

0:01:02.250,0:01:03.083
但是

0:01:03.083,0:01:05.628
在巴西亚马逊雨林中，还有更多故事值得去讲述

0:01:06.803,0:01:08.400
我对怎么样去寻求一种方式

0:01:08.400,0:01:11.940
去表达这些相当复杂的事物很感兴趣

0:01:11.940,0:01:14.230
通过仔细地观察这些

0:01:14.230,0:01:18.303


0:01:26.760,0:01:29.460
我第一个项目是我真正的第一个项目

0:01:29.460,0:01:31.410
我选择了巴尔干半岛的国家

0:01:31.410,0:01:34.170
战后人口失踪的危机

0:01:34.170,0:01:35.580
许多战争中的人们没有回到家

0:01:35.580,0:01:37.410
而是消失了

0:01:37.410,0:01:40.050
人们推测他们是被埋在了乱葬岗中

0:01:40.050,0:01:41.250
但是一直没有发现这块区域

0:01:41.250,0:01:43.740
导致波斯尼亚和巴尔干半岛美丽的风景

0:01:43.740,0:01:46.680


0:01:46.680,0:01:50.115
所以在这片土地上一直以来有着一种气氛

0:01:50.115,0:01:53.610


0:01:53.610,0:01:55.200


0:01:55.200,0:01:57.030


0:01:57.030,0:01:59.110
但是我看不见

0:02:00.870,0:02:03.330


0:02:03.330,0:02:05.640


0:02:05.640,0:02:07.023


0:02:09.300,0:02:11.670
然后我开始只看着这些景色

0:02:11.670,0:02:12.933
并记录下来

0:02:14.190,0:02:19.190


0:02:19.710,0:02:20.970


0:02:20.970,0:02:22.083


0:02:23.040,0:02:24.780
对我来说这是

0:02:24.780,0:02:26.730
这或许是我所有项目中

0:02:26.730,0:02:28.413
不断重复的主题

0:02:36.090,0:02:38.550
柯达宣布停产

0:02:38.550,0:02:41.285
“Aerochrome”红外胶片

0:02:41.285,0:02:43.943
这款胶片诞生于二战期间

0:02:43.943,0:02:46.283
是为美国军队的伪装侦查而发明的

0:02:48.750,0:02:51.660
红外线会被健康植物的叶绿素

0:02:51.660,0:02:52.890
弹开

0:02:52.890,0:02:55.230
伪装通常是由

0:02:55.230,0:02:56.400
布料或是颜料制成的

0:02:56.400,0:02:58.680
而这些材料不含有叶绿素

0:02:58.680,0:03:01.020
如果将图片放在红外线下

0:03:01.020,0:03:03.180
你就可以马上辨认出目标敌人

0:03:03.180,0:03:05.280
能马上识别伪装

0:03:12.840,0:03:14.790
在刚果，当时有至少50支

0:03:14.790,0:03:15.630
不同的武装军队

0:03:15.630,0:03:17.280
我想现在这个数字可能超过了80

0:03:17.280,0:03:18.570
他们之间彼此交战

0:03:18.570,0:03:20.800
所以这是非常

0:03:23.430,0:03:26.373


0:03:27.840,0:03:29.640


0:03:29.640,0:03:31.830


0:03:31.830,0:03:35.043


0:03:37.080,0:03:38.970
这种意象是非常重要的

0:03:38.970,0:03:41.040


0:03:41.040,0:03:42.780


0:03:42.780,0:03:45.510


0:03:45.510,0:03:48.060


0:03:48.060,0:03:50.853


0:03:53.190,0:03:55.380
这算是我职业新阶段的开始

0:03:55.380,0:03:57.480
直到今天，我还在运用

0:03:57.480,0:04:00.330
这种侦查型科技

0:04:00.330,0:04:03.300
去试图突破摄像机的极限

0:04:03.300,0:04:05.553


0:04:09.120,0:04:10.530
在完成刚果的项目后，

0:04:10.530,0:04:12.900
我发现了一种侦察型摄像机

0:04:12.900,0:04:15.900
可以观测和感知热量

0:04:15.900,0:04:18.600
这款摄像机可以记录到

0:04:18.600,0:04:20.430
30公里，或是19英里，之外的人体热量

0:04:20.430,0:04:21.843


0:04:22.830,0:04:26.283


0:04:28.230,0:04:30.180


0:04:30.180,0:04:33.123


0:04:33.123,0:04:34.410


0:04:34.410,0:04:36.183


0:04:37.454,0:04:38.640


0:04:38.640,0:04:39.663


0:04:39.663,0:04:40.496


0:04:40.496,0:04:41.663


0:04:47.910,0:04:49.050


0:04:49.050,0:04:53.619


0:04:53.619,0:04:55.110


0:04:55.110,0:05:00.110


0:05:04.080,0:05:06.720


0:05:06.720,0:05:08.580


0:05:08.580,0:05:11.610


0:05:11.610,0:05:15.030


0:05:15.030,0:05:16.580


0:05:20.640,0:05:21.990


0:05:21.990,0:05:24.540


0:05:24.540,0:05:27.660


0:05:27.660,0:05:30.000


0:05:30.000,0:05:32.250


0:05:32.250,0:05:34.053


0:05:35.610,0:05:38.130


0:05:38.130,0:05:40.530


0:05:40.530,0:05:43.380


0:05:43.380,0:05:45.810


0:05:45.810,0:05:48.420


0:05:48.420,0:05:50.580


0:05:50.580,0:05:52.833


0:05:53.820,0:05:55.320


0:05:55.320,0:05:57.384


0:05:57.384,0:06:00.420


0:06:00.420,0:06:02.073


0:06:03.150,0:06:05.190


0:06:05.190,0:06:08.949


0:06:08.949,0:06:12.873


0:06:14.100,0:06:19.100


0:06:19.800,0:06:21.630


0:06:21.630,0:06:24.690


0:06:24.690,0:06:27.693


0:06:31.140,0:06:34.230


0:06:34.230,0:06:36.810


0:06:36.810,0:06:39.270


0:06:39.270,0:06:43.320


0:06:43.320,0:06:45.540


0:06:45.540,0:06:48.007


0:06:48.007,0:06:50.490


0:06:50.490,0:06:53.853


0:06:59.409,0:07:02.076


0:07:15.174,0:07:16.230


0:07:16.230,0:07:20.160


0:07:20.160,0:07:21.750


0:07:21.750,0:07:23.950


0:07:31.260,0:07:33.540


0:07:33.540,0:07:36.510


0:07:36.510,0:07:40.053


0:07:45.000,0:07:46.980


0:07:46.980,0:07:49.110


0:07:49.110,0:07:52.620


0:07:52.620,0:07:55.070


0:08:03.420,0:08:07.110


0:08:07.110,0:08:09.510


0:08:09.510,0:08:11.823


0:08:13.350,0:08:15.687


0:08:15.687,0:08:17.490


0:08:17.490,0:08:18.960


0:08:18.960,0:08:20.700


0:08:20.700,0:08:23.493


0:08:29.070,0:08:31.890


0:08:31.890,0:08:32.723


0:08:33.780,0:08:35.280


0:08:35.280,0:08:37.170


0:08:37.170,0:08:38.460


0:08:38.460,0:08:40.440


0:08:40.440,0:08:42.810


0:08:42.810,0:08:44.220


0:08:44.220,0:08:46.720


0:08:52.200,0:08:54.720


0:08:54.720,0:08:56.013


0:09:03.780,0:09:05.790


0:09:05.790,0:09:08.760


0:09:08.760,0:09:11.130


0:09:11.130,0:09:14.730


0:09:14.730,0:09:16.230


0:09:16.230,0:09:18.423


0:09:19.290,0:09:21.600


0:09:21.600,0:09:24.630


0:09:24.630,0:09:27.352


0:09:27.352,0:09:30.363


0:09:40.770,0:09:42.780


0:09:42.780,0:09:44.670


0:09:44.670,0:09:46.950


0:09:46.950,0:09:50.100


0:09:50.100,0:09:51.813


0:09:57.330,0:10:00.840


0:10:00.840,0:10:02.850


0:10:02.850,0:10:04.770


0:10:04.770,0:10:07.680


0:10:07.680,0:10:11.730


0:10:11.730,0:10:16.730


0:10:16.890,0:10:19.260


0:10:19.260,0:10:21.780


0:10:21.780,0:10:24.780


0:10:24.780,0:10:26.673


0:10:30.240,0:10:32.040


0:10:32.040,0:10:33.960


0:10:33.960,0:10:35.510


0:10:38.250,0:10:40.770


0:10:40.770,0:10:41.940


0:10:41.940,0:10:42.940


0:10:57.870,0:10:59.460


0:10:59.460,0:11:01.320


0:11:01.320,0:11:02.770


0:11:03.750,0:11:07.470


0:11:07.470,0:11:09.180


0:11:09.180,0:11:11.480


0:11:16.590,0:11:18.330


0:11:18.330,0:11:19.980


0:11:19.980,0:11:22.110


0:11:22.110,0:11:23.163


0:11:28.058,0:11:31.170


0:11:31.170,0:11:35.210


0:11:35.210,0:11:37.800


0:11:37.800,0:11:39.570


0:11:39.570,0:11:44.570